yusuke1997/dblp-id-title huggingface dataset:
Inverse Optimal Control
Learning Curves in Machine Learning
Sublinear Clustering
Induction as Inverted Deduction
Cooperative Coevolution
Confirmation Theory
Computational Complexity of Learning
Simple Recurrent Network
Finite Mixture Model
Interval Scale
General-to-Specific Search
Classification Learning
Self-Adaptive Systems
Categorical Data Clustering
Learning from Complex Data
String Matching Algorithm
Class Binarization
Clonal Selection
Inductive Synthesis
Structural Risk Minimization
False Negative
Graph Clustering
Closest Point
Text Spatialization
Learning By Demonstration
Connection Strength
Generative Learning
Privacy-Preserving Data Mining
Mean Absolute Error
Multi-armed Bandit Problem
Disjunctive Normal Form
Item Space
Qualitative Attribute
Test Instances
Immune Network
Bayesian Reinforcement Learning
Biological Learning: Synaptic Plasticity, Hebb Rule and Spike TimingDependent Plasticity
Transductive Learning
Active Learning Theory
Instance Language
Memory-Based Learning
Intelligent Backtracking
Decision Rule
Cross-Validation
Shattering Coefficient
Mixture Modeling
AODE
Presynaptic Neuron
Speedup Learning
Learning as Search
Simple Bayes
Concept Drift
Locally Weighted Regression for Control
EFSC
Programming by Examples
Error Correcting Output Codes
Kernel Shaping
Is More Specific Than
Certainty Equivalence Principle
Symbolic Dynamic Programming
Mixture Distribution
Maxent Models
Universal Learning Theory
Attribute Selection
True Positive Rate
Minimum Cuts
Instance Space
Dependency Directed Backtracking
PAC Learning
Speedup Learning For Planning
Higher-Order Logic
Vector Optimization
Overall and Class-Sensitive Frequencies
Mixture Model
Average-Cost Neuro-Dynamic Programming
ARTDP
ROC Convex Hull
Learning with Different Classification Costs
Duplicate Detection
Synaptic Efficacy
Agent-Based Simulation Models
Frequent Set
Epsilon Cover
Rule Learning
Collective Classification
Prior
Multi-agent Learning Algorithms
Latent Class Model
Evolutionary Kernel Learning
Evolution of Agent Behaviors
Classifier Systems
Learning Vector Quantization
Prospective Evaluation
Measurement Scales
Kohonen Maps
Constrained Clustering
Program Synthesis from Examples
Learning Control
Generalization Performance
Deep Belief Nets
Networks with Kernel Functions
Area Under Curve
Relational Learning
Learning from Structured Data
Correlation-Based Learning
Local Distance Metric Adaptation
Radial Basis Function Neural Networks
Nominal Attribute
Feedforward Recurrent Network
Inductive Transfer
Nonstationary Kernels Supersmoothing
Bootstrap Sampling
Complexity in Adaptive Systems
Random Subspaces
Bias-Variance Trade-offs
Concept Learning
Logical Consequence
Embodied Evolutionary Learning
Decision List
Merge-Purge
Taxicab Norm Distance
Loopy Belief Propagation
Nogood Learning
Graph Mining
Absolute Error Loss
Bandit Problem with Side Observations
True Positive
Word Sense Discrimination
Utility Problem
First-Order Logic
Within-Sample Evaluation
Quality Threshold Clustering
SDRI
Positive Predictive Value
Symmetrization Lemma
First-Order Predicate Logic
Iterative Algorithm
POS Tagging
Resubstitution Estimate
Threshold Phenomena in Learning
Regularization Networks
Clustering with Advice
Multi-objective Optimization
Mean Error
Comparison Training
Associative Bandit Problem
Class Imbalance Problem
Labeled Data
Genetic Feature Selection
Minimum Message Length
Table Understanding
Prediction with Expert Advice
Genetic Neural Networks
Reference Reconciliation
Belief State Markov Decision Processes
Bottom Clause
Inductive Inference
Data Mining On Text
Projective Clustering
Pairwise Classification
Cost-Sensitive Classification
Dynamic Memory Model
Gaussian Process Reinforcement Learning
Logic of Generality
Deduplication or Duplicate Detection (When Applied to One Database Only)
Markov Net
Learning from Non-Propositional Data
Learning Bias
POMDPs
Biological Learning: Synaptic Plasticity, Hebb Rule and Spike Timing Dependent Plasticity
Case-Based Reasoning
True Negative
Conjunctive Normal Form
Evolutionary Feature Selection and Construction
Markov Network
Randomized Experiments
VC Dimension
Stochastic Finite Learning
Evolutionary Feature Synthesis
1-Norm Distance
Randomized Decision Rule
Domain Adaptation
Boltzmann Machines
Content-Based Recommending
Efficient Exploration in Reinforcement Learning
Transfer of Knowledge Across Domains
Model-Based Clustering
Immunological Computation
Categorical Attribute
Policy Search
Feature Construction in Text Mining
Epsilon Nets
Most Specific Hypothesis
Continuous Attribute
Search Engines: Applications of ML
Basket Analysis
Text Visualization
Cost-to-Go Function Approximation
Programming from Traces
Bias-Variance Trade-Offs: Novel Applications
Competitive Coevolution
MultiBoosting
Evolutionary Constructive Induction
Multistrategy Ensemble Learning
Computational Discovery of Quantitative Laws
Feature Selection in Text Mining
Coevolutionary Computation
First-Order Predicate Calculus
Experience-Based Reasoning
Test-Based Coevolution
Clustering of Nonnumerical Data
Spam Detection
Learning Word Senses
Clustering from Data Streams
Language Bias
Relational Regression Tree
Cluster Initialization
ARL
Multitask Learning
No-Free-Lunch Theorem
Apprenticeship Learning
Classification Tree
Indirect Reinforcement Learning
Modularity Detection
Subspace Clustering
Continual Learning
NC-Learning
Eigenvector
Propositionalization
Posterior Probability
Growing Set
L 1 -Distance
Blog Mining
Reservoir Computing
Plan Recognition
Coevolutionary Learning
Instance-Based Learning
Opinion Stream Mining
Cross-Language Information Retrieval
Explanation-Based Learning for Planning
Inverse Entailment
Model Trees
Example Space
Complex Adaptive System
Predicate Calculus
Meta-combiner
Query-Based Learning
Idiot's Bayes
Probably Approximately Correct Learning
Evolutionary Computation in Finance
Evaluation Set
Minimum Description Length Principle
Maximally General Hypothesis
Agent-Based Modeling and Simulation
Sequence Data
Iterative Classification
Evolutionary Feature Selection
Statistical Physics Of Learning
F 1 -Measure
Functional Trees
Equation Discovery
Clustering Ensembles
Junk Email Filtering
Improvement Curve
Feature Subset Selection
Dual Control
Stopping Criteria
Linear Separability
Training Time
Grammar Learning
Error Curve
Pruning Set
Adaptive System
ECOC
Table Parsing
Process-Based Modeling
Temporal Difference Learning
Locally Weighted Learning
Greedy Search Approach of Graph Mining
Out-of-Sample Data
Model-Based Reinforcement Learning
Holdout Set
Topic Mapping
Intent Recognition
Programming by Demonstration
Leave-One-Out Cross-Validation
Radial Basis Function Approximation
Online Controlled Experiments and A/B Testing
Gaussian Process
Sigmoid Calibration
Cost-Sensitive Learning
Most General Hypothesis
Bilingual Lexicon Extraction
Nonparametric Cluster Analysis
Naïve Bayes
Agent-Based Computational Models
Semi-supervised Learning
Dynamic Programming For Relational Domains
Batch Learning
Explanation-Based Generalization for Planning
Overtraining
Saturation
Foil
Multi-Agent Learning I: Problem Definition
Covariance Matrix
One-Step Reinforcement Learning
Cross-Language Question Answering
Cannot-Link Constraint
Learning in Worlds with Objects
Inverse Resolution
Structural Credit Assignment
Morphosyntactic Disambiguation
Divide-and-Conquer Learning
Decision Epoch
Squared Error
Relationship Extraction
Receiver Operating Characteristic Analysis
Predictive Techniques in Software Engineering
Hold-One-Out Error
ROC Curve
Evolutionary Computational Techniques in Marketing
Programming by Example (PBE)
Clustering Aggregation
Experience Curve
Basic Lemma
Gram Matrix
Model Space
Rotation Forests
Text Mining for News and Blogs Analysis
City Block Distance
LWPR
Web Advertising
True Negative Rate
Data Enrichment
Training Curve
Data Reconciliation
Logistic Calibration
Learning from Preferences
Holdout Data
Discrete Attribute
Evolution of Robot Control
Learning Using Privileged Information
Immunocomputing
Entailment
EM Clustering
Semi-Supervised Text Processing
Bayes Net
Estimation of Density Level Sets
Growth Function
Lessons-Learned Systems
Unstable Learner
Deterministic Decision Rule
F-Measure
Squared Error Loss
Graph Kernels
Mean Squared Error
Medicine: Applications of Machine Learning
Variance Hint
Clause Learning
Ordered Rule Set
Real-Time Dynamic Programming
Trajectory Data
Hypothesis Space
Minimum Encoding Inference
High-Dimensional Clustering
Text Mining for Spam Filtering
Identity Uncertainty
Lazy Learning
Co-Training
Feature Construction
Memory-Based
Missing Values
Tree Mining
Sponsored Search
Rademacher Complexity
Value Function Approximation
Adaptive Real-Time Dynamic Programming
Evolutionary Grouping
Heuristic Rewards
Co-reference Resolution
Evolutionary Games
Semi-naive Bayesian Learning
Offline Learning
Bias-Variance-Covariance Decomposition
Compositional Coevolution
Distribution-Free Learning
Evolutionary Fuzzy Systems
Zero-One Loss
Average-Cost Optimization
Text Mining for the Semantic Web
Breakeven Point
Click-Through Rate (CTR)
Isotonic Calibration
Partitional Clustering
Predicate Invention
Grammatical Tagging
Evolutionary Clustering
Search Bias
Quantitative Attribute
Semantic Mapping
Inductive Process Modeling
Typical Complexity of Learning
Dimensionality Reduction on Text via Feature Selection
Dynamic Programming for Relational Domains
Markovian Decision Rule
Dynamic Selection of Bias
Error-Correcting Output Codes (ECOC)
Bayes' Rule
Bounded Differences Inequality
Topic Models for NLP Applications
Representation Language
Memory Organization Packets
Artificial Immune Systems
Machine Learning and Game Playing
Error Squared
Statistical Relational Learning
Training Instances
Sequential Inductive Transfer
Feature Weighting
Non-Parametric Methods
Fuzzy Systems
Reward Shaping
Stacked Generalization
Learning Classifier Systems
Link Mining and Link Discovery
Document Categorization
Prior Probabilities
Test Set
Random Subspace Method
Least-Squares Reinforcement Learning Methods
Bayesian Methods
Link-Based Classification
Bayes Adaptive Markov Decision Processes
Approximate Dynamic Programming
One-Against-All Training
Object Space
K -Way Spectral Clustering
Analytical Learning
Policy Gradient Methods
Stream Classification
Opinion Extraction
Constraint-Based Mining
Regression Trees
Generality And Logic
Net Lift Modeling
Locality Sensitive Hashing Based Clustering
Frequent Itemset
Artificial Societies
Multiple Classifier Systems
L1-Distance
Average-Payoff Reinforcement Learning
Genetic Clustering
String Kernel
Content Match
Text Mining for Advertising
Multiple-Instance Learning
Citation or Reference Matching (When Applied to Bibliographic Data)
Committee Machines
Multi-armed Bandit
Kernel-Based Reinforcement Learning
Temporal Data
Supervised Descriptive Rule Induction
Decision Trees for Regression
Learning from Nonvectorial Data
Learning by Imitation
Learning by Demonstration
TDIDT Strategy
Pre-Pruning
Unlabeled Data
Temporal Credit Assignment
Rule Set
Ordinal Attribute
Supervised Learning on Text Data
Version Space
Nearest Neighbor Methods
Programming by Example
Content-Based Filtering
Event Extraction from Media Texts
Covering Algorithm
Generalized Delta Rule
Learning from Nonpropositional Data
Contextual Advertising
Probabilistic Context-Free Grammars
Document Clustering
Unknown Attribute Values
Internal Model Control
K -Medoids Clustering
Data Preparation
Neural Network Architecture
Posterior
Leave-One-Out Error
Sequential Prediction
Sequential Learning
Out-of-Sample Evaluation
Learning Control Rules
String kernel
Genetics-Based Machine Learning
Cross-Lingual Text Mining
Post-pruning
LOO Error
Multi-relational Data Mining
Bias Variance Decomposition
Mining a Stream of Opinionated Documents
Passive Learning
Field Scrubbing
Phase Transitions in Machine Learning
Edge Prediction
Semi-Naive Bayesian Learning
Multi-agent Learning
Stratified Cross Validation
Holdout Evaluation
Post-Pruning
k -Armed Bandit
Multi-label Learning
Evaluation of Model Performance
Cascade-Correlation
Encyclopedia of Machine Learning and Data Mining
Relational Value Iteration
Data Matching
Data mining on Text
m -Estimate
Semi-Supervised Learning
Multi-Agent Learning II: Algorithms
Epsilon Covers
Multi-Instance Learning
Mode Analysis
Unsupervised Learning on Document Datasets
Empirical Risk Minimization
Quality Threshold
Table Extraction
Meta-Combiner
Synaptic E.Cacy
Variable Subset Selection
Mean Shift
Piecewise Linear Models
Semantic Annotation of Text Using Open Semantic Resources
Group Detection
Postsynaptic Neuron
Knowledge Discovery
Object Matching
Long-Term Potentiation of Synapses
Maximally Specific Hypothesis
Object Identification
Pre-pruning
Explanation-Based Learning
Bayes Rule
Polarity Learning on a Stream
Feature Generation in Text Mining
Nonparametric Bayesian
Authority Control
Maximum Entropy Models for Natural Language Processing
Attribute-Value Learning
Assessment of Model Performance
Speedup Learning for Planning
Clustering with Side Information
Feature Projection
Generality and Logic
Cascade Correlation
Iterative Computation
Inductive Learning
Competitive Learning
Lossy Compression
Time Sequence
Kernel-Based Reinforcement\break Learning
Statistical Physics of Learning
Generalization Bounds
Data Scrubbing
Rademacher Average
Co-Reference Resolution
Learning Algorithm Evaluation
Separate-and-Conquer Learning
Multi-Criteria Optimization
Business Domain Modeling
Encyclopedia of Software Engineering
Fault Injection
Earned Value Management
Automated Software Testing (AST)
Requirements: Understanding
Agile Software Development: Teams
Round-Trip Engineering
Triptych Process Model
Maintenance and Evolution: Information Retrieval Applications
Policy-Based Testing
Software Configuration Management (SCM) Process
Architecture: Description Languages
Software Fault Localization
Reconfigurable Computing Systems
Product Portfolios: Management
Human-Centered Computing
Reliability Modeling
Medical Device Industry: Software Process Improvement
Process: Definition and Communication
Projects and Processes: Measurement
Management: Tools
Autonomic Systems
Project Management: Success Factors
Security Testing
Software Measurement Body of Knowledge
Model-Based Testing: Trends
Fault-Based Testing
Smart Machines
Model-Based Testing: Approaches and Notations
Requirements Engineering: Management
Project Control: Visualization
Configuration Auditing
Software Testing: Tools
Maintenance: Process
Process: Assessment and Improvement
Communication Software: Design and Testing
Requirements Engineer
Unified Modeling Language (UML): Visual Development
Functional Programming in ML
Program Comprehension
Subdomain (Partition) Testing
Architecture: Analysis
Defect Prevention Processes (DPP)
Virtual Teams
Unified Modeling Language (UML)
Programming Phase: Formal Methods
Requirements Engineering: Principles and Practice
IEEE Computer Society
Development: Information Retrieval Applications
Project Management: Planning and Scheduling
Program Representation
Requirements Engineering: Technique Selection
Prototyping Methods
Design: Patterns
Project Estimation
Requirements Interaction Detection
Hard Real-Time Systems: Construction
Architecture and Design Recovery
Audits and Management Reviews
Project Life Cycle: Construction
Architecture: Design
Operational Profile Testing
Test Case Generation: Specification-Based
Design: Proof-Based Certification
Maintenance: Risk
Metamodeling
Formal Requirements Specification
Software Engineering: History
Maintenance: Techniques
Grid Environments: Service Level Agreements (SLAs)
Software Failure
Acquisitions Management
Use Case Specifications: State-Based Elicitation
Self-Managing Software
Requirements: Tracing
Bioinformatics: Processes and Workflows
Software Reverse Engineering
Fundamentals of Digital Forensic Evidence
Peer-to-Peer Botnets
Anti-bot Strategies Based on Human Interactive Proofs
Viruses and Malware
Secure Routing in Wireless Sensor Networks
A Framework for System Security
Security via Trusted Communications
Distributed Port Scan Detection
Phishing Attacks and Countermeasures
Low-Level Software Security by Example
Host-Based Anomaly Intrusion Detection
Security for Ad Hoc Networks
Technological and Legal Aspects of CIS
Intranet Security via Firewalls
Network Traffic Analysis and SCADA Security
Designing a Secure Programming Language
Chaos Applications in Optical Communications
Public-Key Cryptography
Security via Surveillance and Monitoring
Intrusion Detection and Prevention Systems
Security of Service Networks
Security and Quality of Service in Wireless Networks
Chaos-Based Information Security
Mobile Ad Hoc Network Routing
ECG-Based Authentication
Access and Usage Control in Grid Systems
Security in Relational Databases
Block Cipher Cryptanalysis
Security in Wireless Sensor Networks
Intrusion Detection Systems
Multimedia Forensics for Detecting Forgeries
Chaos-Based Secure Optical Communications Using Semiconductor Lasers
Medical Information Retrieval Enhanced with User's Query Expanded with Tag-Neighbors
Predicting the Outcome of Antihypertensive Therapy Using Knowledge Mining
Nanotechnology and Its Application in Medicine
Modeling Personalized and Context-Aware Multimedia e-Health Framework
Towards Personalized Services in the Healthcare Domain
Handbook of Medical and Healthcare Technologies
Medical Technology Breakthroughs in Tissue Engineering
Innovations in 3D Interventional X-ray Imaging
Virtual Doctor: A WBAN Based Architecture for Healthcare Service
Sensor Infrastructures for Ambient Assisted Living
Automated Classification of Echo-Cardiography Images Using Texture Analysis Methods
Integration of Various Health Record Systems
Mobile Medical and Healthcare Applications
Improving Safety in Medical Devices from Concept to Retirement
Anomaly Detection Scheme for Medical Wireless Sensor Networks
Wearable and Implantable Technologies for Cardiovascular Health Informatics
Innovative Soft Computing Methodologies for Evaluating Risk Factors of Atherosclerosis
Security of the Electronic Medical Record
Cloud Computing Approach to Novel Medical Interface Design
Brief Overview of Various Healthcare Tools, Methods, Framework and Standards
Secure Mobile Framework for Monitoring Medical Sensor Data
Predicting Hospital Readmission Risk for COPD Using EHR Information
Personal Web in Healthcare
Tissue Engineering Triangle and its Development
Reuse-centric simulation software architectures
Processes to support the quality of M&S artifacts
Collaborative modeling and simulation in spacecraft design
System modeling: Principled operationalization of social systems using Presage2
Model-driven method to enable simulation-based analysis of complex systems
Performance engineering of distributed simulation programs
Systems engineering, architecture, and simulation
Formal agent-based models of social systems
Modeling and Simulation-Based Systems Engineering Handbook
Web-based simulation using Cell-DEVS modeling and GIS visualization
Introduction to the modeling and simulation-based systems engineering handbook
Formal validation methods in model-based spacecraft systems engineering
Liquid business process model collections
On the evolution toward computer-aided simulation
Conceptual models become alive with Vivid OPM: How can animated visualization render abstract ideas concrete?
Layered architectural approach for distributed simulation systems: The SimArch case
Modeling and simulation framework for systems engineering
Reshuffling PDES platforms for multi/many-core machines: A perspective with focus on load sharing
Schedulers for Optimistic Rate Based Flow Control
Traveling Sales Person with Few Inner Points
Adword Auction
Engineering Algorithms for Large Network Applications
Single and Multiple Buffer Processing
Matching Market Equilibrium Algorithms
Exact Algorithms for k SAT Based on Local Search
Quantum Algorithm for Factoring
Visualization Techniques for Algorithm Engineering
Quantum Algorithms for Class Group of a Number Field
Combinatorial Gray Code
Cache-Oblivious Model
Fully Dynamic Connectivity: Upper and Lower Bounds
Sojourn Time
Full-Text Index Construction
Generalized Vickrey Auction
Connectivity and Fault-Tolerance in Random Regular Graphs
Set Cover with Almost Consecutive Ones
Partnerschaftsvermittlung
Point Pattern Matching
Network Creation Games
Planar Directed k-Vertex-Disjoint Paths Problem
Succinct Data Structures for Parentheses Matching
Perfect Phylogeny (Bounded Number of States)
Monotonicity Testing
CPU Time Pricing
Tree Alignment
R-Trees
Treewidth of Graphs
Kreise zeichnen mit Turbo
Approximate Distance Oracles with Improved Query Time
Fully Dynamic All Pairs Shortest Paths
Equivalence Between Priority Queues and Sorting
Binary Space Partitions
Spatial Databases and Search
Derandomization of \(\boldsymbol{k}\) -SAT Algorithm
Deterministic Broadcasting in Radio Networks
Three-Dimensional Graph Drawing
Finding Topological Subgraphs
Decoding Reed-Solomon Codes
Shortest Paths in Planar Graphs with Negative Weight Edges
Implementing Shared Registers in Asynchronous Message-Passing Systems
Approximation Schemes for Geometric Network Optimization Problems
Utilitarian Mechanism Design for Single-Minded Agents
Sorting Signed Permutations by Reversal (Reversal Distance)
Snapshots in Shared Memory
Minimum Bisection
Teleportation of Quantum States
Count-Min Sketch
Die Eulertour
Dictionary Matching
Sequential Circuit Technology Mapping
Maximum Agreement Subtree (of 2 Binary Trees)
Dynamic Approximate All-Pairs Shortest Paths: Breaking the O(mn) Barrierand Derandomization
Minimal Perfect Hash Functions
Randomized Broadcasting in Radio Networks
I/O-model
Degree-Bounded Planar Spanner with Low Weight
Hospitals/Residents Problem
Local Approximation of Covering and Packing Problems
Learning with the Aid of an Oracle
Polygon Triangulation
Backdoors to SAT
Vector Sorting
Lower Bounds for Dynamic Connectivity
Robust Scheduling Algorithms
Privacy Preserving Auction
Byzantine Agreement
Minimum Flow Time
Technology Mapping
Set Agreement
Exact Algorithms for Maximum Two-Satisfiability
Misra-Gries Summaries
Fractional Packing and Covering Problems
Parameterized SAT
Kernelization, Matroid Methods
Quantum Algorithm for the Collision Problem
Critical Range for Wireless Networks
Maximum-Sum Segments
Stable Marriage and Discrete Convex Analysis
All Pairs Shortest Paths in Sparse Graphs
Fully Dynamic Higher Connectivity
Meshing Piecewise Smooth Complexes
Price of Anarchy for Machines Models
Approximations of Bimatrix Nash Equilibria
Kernelization, MaxLin Above Average
Vickrey-Clarke-Groves Mechanism
Wavelet Trees
External Sorting and Permuting
Whole Genome Assemble
Coordinated Sampling
Optimal Stable Marriage
Exact Algorithms for Treewidth
Quantum Algorithms for Matrix Multiplication and Product Verification
Minimum Weight Triangulation
Floorplan and Placement
Minimum k-Connected Geometric Networks
Stable Partition Problem
Algorithms for Combining Rooted Triplets into a Galled Phylogenetic Network
RNA Secondary Structure Prediction Including Pseudoknots
Randomized Gossiping in Radio Networks
Indexed Approximate String Matching
Max Cut
Upward Graph Drawing
Position Auction
Distance-Based Phylogeny Reconstruction: Safety and Edge Radius
Phylogeny Reconstruction
Probabilistic Data Forwarding in Wireless Sensor Networks
Parameterization in Computational Social Choice
Abelian Hidden Subgroup Problem
Approximate Tandem Repeats
Multidimensional Compressed Pattern Matching
Location-Based Routing
Multicut
Locality in Distributed Graph Algorithms
Incentive Compatible Algorithms
Voltage Scaling
Approximate Matching
Geometric Dilation of Geometric Networks
Unified Energy-Efficient Unicast and Broadcast Topology Control
Discrete Ricci Flow for Geometric Routing
Randomized Energy Balance Algorithms in Sensor Networks
Quantum Algorithm for Solving Pell's Equation
Local Alignment (with Affine Gap Weights)
Reverse Search; Enumeration Algorithms
RNA Secondary Structure Boltzmann Distribution
Fault-Tolerant Quantum Computation
Sorting Signed Permutations by Reversal (Reversal Sequence)
Exact Algorithms and Time/Space Tradeoffs
Learning DNF Formulas
Active Learning - Modern Learning Theory
LP Decoding
Der Euklidische Algorithmus
Two-Dimensional Pattern Indexing
Generalized Steiner Network
Sequence and Spatial Motif Discovery in Short Sequence Fragments
Counting Triangles in Graph Streams