yusuke1997/dblp-id-title huggingface dataset:
Identification in the Limit with Probability One of Stochastic Deterministic Finite Automata
Grammar Compression: Grammatical Inference by Compression and Its Application to Real Data
Fast Learning from Strings of 2-Letter Rigid Grammars
Learning Multiplicity Tree Automata
Extracting Context-Free Grammars from Recurrent Neural Networks using Tree-Automata Learning and A* Search
Learning Product Automata
Grammatical Inference and Games: Extended Abstract
A disagreement count scheme for inference of constrained Markov networks
On Sufficient Conditions to Identify in the Limit Classes of Grammars from Polynomial Time and Data
String Extension Learning Despite Noisy Intrusions
Estimating Graph Parameters Using Graph Grammars
Suffix Classification Trees
The Data Driven Approach Applied to the OSTIA Algorithm
A Unified Algorithm for Extending Classes of Languages Identifiable in the Limit from Positive Data
Splitting of Learnable Classes
Distributional Learning of Some Context-Free Languages with a Minimally Adequate Teacher
Learning k-Variable Pattern Languages Efficiently Stochastically Finite on Average from Positive Data
Grammatical Inference for Syntax-Based Statistical Machine Translation
Learning Context-Free Grammars from Partially Structured Examples
A Hierarchy of Language Families Learnable by Regular Language Learners
Learning Stochastic Finite Automata
Fragmentation: Enhancing Identifiability
Testing-based Black-box Extraction of Simple Models from RNNs and Transformers
Learning grammatical stucture using statistical decision-trees
International Conference on Grammatical Inference 2018: Preface
A Markovian Approach to the Induction of Regular String Distributions
Grammatical Inference and Applications, Second International Colloquium, ICGI-94, Alicante, Spain, September 21-23, 1994, Proceedings
CGE: A Sequential Learning Algorithm for Mealy Automata
A Corpus-Driven Context-Free Approximation of Head-Driven Phrase Structure Grammar
Polynomial Distinguishability of Timed Automata
An example distribution for probabilistic query learning of simple deterministic languages
Learning Mild Context-Sensitiveness: Toward Understanding Children's Language Learning
On Learning Regular Expressions and Patterns Via Membership and Correction Queries
Detecting Changes in Loop Behavior for Active Learning
Inference of Sequential Association Rules Guided by Context-Free Grammars
Benchmarking State-Merging Algorithms for Learning Regular Languages
Lyrebird TM : Developing Spoken Dialog Systems Using Examples
Which Came First, the Grammar or the Lexicon?
Parsing Without Grammar Rules
Training and Application of Integrated Grammar/Bigram Language Models
Learning Context Free Grammars with the Syntactic Concept Lattice
Incremental Learning of Context Free Grammars by Bridging Rule Generation and Search for Semi-optimum Rule Sets
Estimating Grammar Parameters Using Bounded Memory
A Congruence-based Approach to Active Automata Learning from Neural Language Models
Evaluation of Machine Learning Methods on SPiCe
On the Relationship between Models for Learning in Helpful Environments
Inference of Finite-State Transducers by Using Regular Grammars and Morphisms
State-Merging DFA Induction Algorithms with Mandatory Merge Constraints
Learning Graph Weighted Models on Pictures
Inferring Program Extensions from Traces
'NAIL': Artificial Intelligence Software for Learning Natural Language
Extracting Weighted Automata for Approximate Minimization in Language Modelling
Relevant Representations for the Inference of Rational Stochastic Tree Languages
Mutually Compatible and Incompatible Merges for the Search of the Smallest Consistent DFA
Learning Deterministic Finite Automata from Infinite Alphabets
Learning k-piecewise testable languages from positive data
An Abstract Framework for Counterexample Analysis in Active Automata Learning
Smoothing Probabilistic Automata: An Error-Correcting Approach
Grammatical Inference: Algorithms and Applications, 6th International Colloquium: ICGI 2002, Amsterdam, The Netherlands, September 23-25, 2002, Proceedings
Maximizing a Tree Series in the Representation Space
Partial Learning Using Link Grammars Data
Inside-Outside Algorithm for Macro Grammars
Grammatical Inference: Learning Syntax from Sentences, 3rd International Colloquium, ICGI-96, Montpellier, France, September 25-27, 1996, Proceedings
Grammatical Inference Using Suffix Trees
International Conference on Grammatical Inference, ICGI 2023, 10-13 July 2023, Rabat, Morocco
A Divide-and-Conquer Approach to Acquire Syntactic Categories
Learning Context-Sensitive Languages from Linear Structural Information
Learning Deterministic DEC Grammars Is Learning Rational Numbers
How Considering Incompatible State Mergings May Reduce the DFA Induction Search Tree
Results of Neural-Checker Toolbox in Taysir 2023 Competition
Meaning Helps Learning Syntax
Online Grammar Compression for Frequent Pattern Discovery
The Induction of Temporal Grammatical Rules from Multivariate Time Series
Locally Threshold Testable Languages in Strict Sense: Application to the Inference Problem
Grammatical Inference: Algorithms and Applications, 5th International Colloquium, ICGI 2000, Lisbon, Portugal, September 11-13, 2000, Proceedings
Automatic Determination of a Stochastic Bi-Gram Class Language Model
Explaining Black Boxes on Sequential Data using Weighted Automata
Learning of Regular omega-Tree Languages
Extending Distributional Learning from Positive Data and Membership Queries
A Non-deterministic Grammar Inference Algorithm Applied to the Cleavage Site Prediction Problem in Bioinformatics
Suprasymbolic Grammar Induction by Recurrent Self-Organizing Maps
Results of the Sequence PredIction ChallengE (SPiCe): a Competition on Learning the Next Symbol in a Sequence
Inferring DFA without Negative Examples
Rademacher Complexity and Grammar Induction Algorithms: What It May (Not) Tell Us
Evaluation of selection in context-free grammar learning systems
Extracting Shallow Paraphrasing Schemata from Modern Greek Text Using Statistical Significance Testing and Supervised Learning
Model Selection of Sequence Prediction Algorithms by Compression
Learning Deterministic Finite Automaton with a Recurrent Neural Network
What Is the Search Space of the Regular Inference?
The Tenjinno Machine Translation Competition
Polynomial Time Probabilistic Learning of a Subclass of Linear Languages with Queries
Learning Languages with Help
Query learning of subsequential transducers
A Tool for Language Learning Based on Categorial Grammars and Semantic Information
The EMILE 4.1 Grammar Induction Toolbox
Unsupervised Learning of Probabilistic Context-Free Grammar using Iterative Biclustering
Transducer Inference by Assembling Specific Languages
The Omphalos Context-Free Grammar Learning Competition
Using Multiplicity Automata to Identify Transducer Relations from Membership and Equivalence Queries
Protein Motif Prediction by Grammatical Inference
Large Scale Inference of Deterministic Transductions: Tenjinno Problem 1
Application of OSTIA to Machine Translation Tasks
A Polynominal Time Incremental Algorithm for Learning DFA
Pattern Discovery in Biosequences
A bottom-up efficient algorithm learning substitutable languages from positive examples
A Local Search Algorithm for Grammatical Inference
Incremental regular inference
On the Complexity of Consistent Identification of Some Classes of Structure Languages
Inferring (k, l)-context-sensitive probabilistic context-free grammars using hierarchical Pitman-Yor processes
Learning Stochastic Deterministic Regular Languages
A Spectral Method that Worked Well in the SPiCe'16 Competition
A Hierarchy of Context-Free Languages Learnable from Positive Data and Membership Queries
Learning Syntactic Monoids from Samples by extending known Algorithms for learning State Machines
Formal and Empirical Studies of Counting Behaviour in ReLU RNNs
Representational Issues for Context Free Grammar Induction Using Genetic Algorithms
Proceedings of the 13th International Conference on Grammatical Inference, ICGI 2016, Delft, The Netherlands, October 5-7, 2016
Improve the Learning of Subsequential Transducers by Using Alignments and Dictionaries
Introducing statistical dependencies and structural constraints in variable-length sequence models
Using Pseudo-stochastic Rational Languages in Probabilistic Grammatical Inference
A Canonical Semi-Deterministic Transducer
Grammatical Inference of some Probabilistic Context-Free Grammars from Positive Data using Minimum Satisfiability
Learnability of Pregroup Grammars
Proceedings of the 14th International Conference on Grammatical Inference, ICGI 2018, Wrocław, Poland, September 5-7, 2018
Inference of Context-Free Grammars by Enumeration: Structural Containment as an Ordering Bias
Inference of Uniquely Terminating EML
Learning Nondeterministic Mealy Machines
Learning Morphology - Practice Makes Good
Learning Transductions and Alignments with RNN Seq2seq Models
Learning of Church-Rosser Tree Rewriting Systems
Learning Deterministic Finite Automata from Interleaved Strings
Maximum mutual information and conditional maximum likelihood estimation of stochastic regular syntax-directed translation schemes
TAYSIR Competition: Transformer+RNN: Algorithms to Yield Simple and Interpretable Representations
Synthesizing Context Free Grammars from Sample Strings Based on Inductive CYK Algorithm
Learning linear grammars from structural information
Statistical Inductive Learning of Regular Formal Languages
Consistent Identification in the Limit of Rigid Grammars from Strings Is NP-hard
Simple K-star Categorial Dependency Grammars and their Inference
Inference and Estimation of a Long-Range Trigram Model
Grammatical Inference in Practice: A Case Study in the Biomedical Domain
Computational Complexity of Problems on Probabilistic Grammars and Transducers
Characteristic sets for polynominal grammatical inference
MDL in the Limit
Inducing Probabilistic Grammars by Bayesian Model Merging
Extracting Minimum Length Document Type Definitions Is NP-Hard
Beyond Chomsky Normal Form: Extending Strong Learning Algorithms for PCFGs
A Polynomial Algorithm for the Inference of Context Free Languages
Proceedings of the 12th International Conference on Grammatical Inference, ICGI 2014, Kyoto, Japan, September 17-19, 2014
Learning code regular and code linear languages
Using Symbol Clustering to Improve Probabilistic Automaton Inference
Clustering of sequences using minimum grammar compexity criterion
Learning Languages from Bounded Resources: The Case of the DFA and the Balls of Strings
Learning Node Label Controlled Graph Grammars (Extended Abstract)
Identifying Clusters from Positive Data
Approximate Learning of Random Subsequential Transducers
Towards a rationalist theory of language acquisition
Beyond EDSM
Incremental Learning of Context Free Grammars
Very efficient learning of structured classes of subsequential functions from positive data
A Learning Algorithm for Multi-dimensional Trees, or: Learning Beyond Context-Freeness
Recognizing Long Grammatical Sequences using Recurrent Networks Augmented with an External Differentiable Stack
Induction of Directed Acyclic Word Graph in a Bioinformatics Task
Grammatical Inference, 4th International Colloquium, ICGI-98, Ames, Iowa, USA, July 12-14, 1998, Proceedings
Learning PDFA with Asynchronous Transitions
Learning Probabilistic Residual Finite State Automata
Learning Top-Down Tree Transducers with Regular Domain Inspection
Running FCRPNI in Efficient Time for Piecewise and Right Piecewise Testable Languages
Learning Distinguishable Linear Grammars from Positive Data
Some improvements of the spectral learning approach for probabilistic grammatical inference
Constructing Song Syntax by Automata Induction
Stochastic simple recurrent neural networks
Using Grammatical Inference to Build Privacy Preserving Data-sets of User Logs
Learning state machines from data streams: A generic strategy and an improved heuristic
Inductive logic programming for discrete event systems
Grammatical Inference: An Introduction Survey
Grammar Model and Grammar Induction in the System NL PAGE
Stochastic k-testable Tree Languages and Applications
Exact DFA Identification Using SAT Solvers
Generalized Stochastic Tree Automata for Multi-relational Data Mining
Learning of Regular Bi-omega Languages
Learning a Subclass of Linear Languages from Positive Structural Information
Unions of identifiable families of languages
Predicting Sequential Data with LSTMs Augmented with Strictly 2-Piecewise Input Vectors
Learning Regular Expressions from Representative Examples and Membership Queries
How to Split Recursive Automata
Implementing Alignment-Based Learning
Constructive Learning of Context-Free Languages with a Subpansive Tree
Applying Grammatical Inference in Learning a Language Model for Oral Dialogue
Inductive inference from positive data: from heuristic to characterizing methods
A journey into the Generative AI and large language models: From NLP to BioInformatics
Learning Meaning Before Syntax
Identifying Left-Right Deterministic Linear Languages
Stochastic Grammatical Inference with Multinomial Tests
The Acquisition of a Lexicon from Paired Phoneme Sequences and Semantic Representations
A Hybrid Connectionist-Symbolic Approach to Regular Grammatical Inference Based on Neural Learning and Hierarchical Clustering
Probabilistic k -Testable Tree Languages
Ten Open Problems in Grammatical Inference
Navigation Pattern Discovery Using Grammatical Inference
Polynomial Time Identification of Strict Prefix Deterministic Finite State Transducers
A Polynomial Time Learning Algorithm Simple Deterministic Languages via Membership Queries and a Representative Sample
Selection criteria for word trigger pairs in language modelling
Bounding the Maximal Parsing Performance of Non-Terminally Separated Grammars
Using Model Theory for Grammatical Inference: a Case Study from Phonology
Flexible State-Merging for Learning (P)DFAs in Python
Inferring Grammar Rules of Programming Language Dialects
Grammatical Inference: Algorithms and Applications, 8th International Colloquium, ICGI 2006, Tokyo, Japan, September 20-22, 2006, Proceedings
Iterated Transductions and Efficient Learning from Positive Data: A Unifying View
Using domain information during the learning of a subsequential transducer
Learning Reversible Languages with Terminal Distinguishability
Stochastic Analysis of Lexical and Semantic Enhanced Structural Language Model
Grammatical Inference: Algorithms and Applications, 9th International Colloquium, ICGI 2008, Saint-Malo, France, September 22-24, 2008, Proceedings
Inferring Attribute Grammars with Structured Data for Natural Language Processing
A Discriminative Model of Stochastic Edit Distance in the Form of a Conditional Transducer
Query Learning Algorithm for Symbolic Weighted Finite Automata
International Conference on Grammatical Inference 2016: Preface
Stochastic Inference of Regular Tree Languages
Iso-array Acceptors and Learning
Bigger is Not Always Better: on the Quality of Hypotheses in Active Automata Learning
Learning Multiple Independent Tier-based Processes
Polynomial-Time Identification of an Extension of Very Simple Grammars from Positive Data
Learning a Subclass of Context-Free Languages
The Generalized Smallest Grammar Problem
Introducing Domain and Typing Bias in Automata Inference
Grammatical inference using tabu search
Computation of Substring Probabilities in Stochastic Grammars
A Note on the Relationship between Different Types of Correction Queries
Learning Input Strictly Local Functions From Their Composition
Learning Fuzzy Context-Free Grammar - A Preliminary Report
eg-GRIDS: Context-Free Grammatical Inference from Positive Examples Using Genetic Search
Learning Stochastic Regular Grammars by Means of a State Merging Method
Learning n-Ary Node Selecting Tree Transducers from Completely Annotated Examples
Identification in the Limit of Systematic-Noisy Languages
Identification in the Limit of k, l-Substitutable Context-Free Languages
Lower Bounds for Active Automata Learning
Sequences Classification by Least General Generalisations
Transducer-Learning Experiments on Language Understanding
Dynamic Grammatical Representations in Guided Propagation Networks
Inferring stochastic regular grammars with recurrent neural networks
Analogical Equations in Sequences: Definition and Resolution
Using MDL for Grammar Induction
Permutations and Control Sets for Learning Non-regular Language Families
Inducing Regular Languages Using Grammar-Based Classifier System
Query-Based Learning of XPath Expressions
Learning Analysis by Reduction from Positive Data
A Comparison of Syntactic and Statistical Techniques for Off-Line OCR
A Performance Evaluation of Automatic Survey Classifiers
Characteristic Sets for Inferring the Unions of the Tree Pattern Languages by the Most Fitting Hypotheses
Learning Locally Testable Even Linear Languages from Positive Data
Efficient Learning of k -Reversible Context-Free Grammars from Positive Structural Examples
Learning Regular Grammars to Model Musical Style: Comparing Different Coding Schemes
Grammatical Inference as Class Discrimination
A Toolbox for Context-Sensitive Grammar Induction by Genetic Search
Decision problems for Clark-congruential languages
A Framework for Inductive Learning of Typed-Unification Grammars
Learning DFA from Correction and Equivalence Queries
Shallow Parsing Using Probabilistic Grammatical Inference
Learning Subclasses of Pure Pattern Languages
Empirical and Theoretical Arguments for Using Properties of Letters for the Learning of Sequential Functions
Using Grammar Induction to Model Adaptive Behavior of Networks of Collaborative Agents
Learning Finite-State Models for Machine Translation
Sequence Prediction Using Neural Network Classiers
Counting Extensional Differences in BC-Learning
Query Learning Automata with Helpful Labels
Learning DFAs by Evolving Short Sequences of Merges
Enhanced Suffix Arrays as Language Models: Virtual k -Testable Languages
Learning Finite-State Machines from Inexperienced Teachers
A Stochastic Search Approach to Grammar Induction
Learning Automata Teams
Identification of DFA: data-dependent vs data-independent algorithms
Computer Assisted Grammar Construction
Inferring Regular Trace Languages from Positive and Negative Samples
Learning of Regular Languages by Recurrent Neural Networks? (Mainly Questions)
An Inverse Limit of Context-Free Grammars - A New Approach to Identifiability in the Limit
Stochastic Optimization of a Probabilistic Language Model
A PAC Learnability of Simple Deterministic Languages
Grammar Interpretations and Learning TSL Online
Evaluation and Comparison of Inferred Regular Grammars
The complexity of learning linear temporal formulas from examples
A note on grammatical inference of slender context-free languages
Molecules, Languages and Automata
Polynomial-Time Identification of Multiple Context-Free Languages from Positive Data and Membership Queries
Efficient Ambiguity Detection in C-NFA, a Step Towards the Inference on Non Deterministic Automata
Formal languages and neural models for learning on sequences
Generalizing over Several Learning Settings
A Procedure for Inferring a Minimalist Lexicon from an SMT Model of a Language Acquisition Device
Learning local substitutable context-free languages from positive examples in polynomial time and data by reduction
Identification of Substitutable Context-Free Languages over Infinite Alphabets from Positive Data
Schema-Guided Induction of Monadic Queries
Proceedings of the Eleventh International Conference on Grammatical Inference, ICGI 2012, University of Maryland, College Park, USA, September 5-8, 2012
Object-Oriented Inferences in a Logical Framework for Feature Grammars
Classification of Biological Sequences with Kernel Methods
Inferring Grammars for Mildly Context Sensitive Languages in Polynomial-Time
Inferring Non-resettable Mealy Machines with n States
Grammatical Inference in Document Recognition
A Likelihood-Ratio Test for Identifying Probabilistic Deterministic Real-Time Automata from Positive Data
Planar Languages and Learnability
Using Adaptive Sequences for Learning Non-Resettable FSMs
Grammar Inference Technology Applications in Software Engineering
A Comparative Study of Two Algorithms for Automata Identification
An incremental interactive algorithm for grammar inference
Representing Languages by Learnable Rewriting Systems
Extending Incremental Learning of Context Free Grammars in Synapse
Regular Grammatical Inference from Positive and Negative Samples by Genetic Search: the GIG Method
Inferring Subclasses of Contextual Languages
Storage Alternatives for Mobile Computers
Introduction to Mobile Computing
The Diana Approach to Mobile Computing
Connecting Mobile Workstations to the Internet Over a Digital Cellular Telephone Network
Routing Over Multi-Hop Wireless Network of Mobile Computers
Asynchronous Video: Coordinated Video Coding and Transport for Heterogeneous Networks with Wireless Access
Scalable Support for Transparent Mobile Internetworking
Genesis and Advanced Traveler Information Systems
Mobile Computing [Mobidata Workshop on Mobile and Wireless Information Systems, Rutgers University, NJ, USA, October 31 - November 1, 1994]
Providing Location Information in a Ubiquitous Computing Environment
Mobility Support for Sales and Inventory Applications
Dynamic Source Routing in Ad Hoc Wireless Networks
Strategies for Query Processing in Mobile Computing
Disconnected Operation in the Coda File System
Unix for Nomads: Making Unix Support Mobile Computing
The CMU Mobile Computers and Their Application for Maintenance
Broadcast Disks: Data Management for Asymmetric Communication Environments
Experience with Disconnected Operation in a Mobile Computing Environment
Wireless Publishing: Issues and Solutions
Indirect Transport Layer Protocols for Mobile Wireless Environment
The Parctab Ubiquitous Computing Experiment
The Case for Wireless Overlay Networks
Improving the Performance of Reliable Transport Protocols in Mobile Computing Environments
Scheduling for Reduced CPU Energy
Location Management for Networks with Mobile Users
An Authoring Tool for Interactive Digital Storytelling
Interaction with 3D Models on Virtual Archaeological Sites
Facilitating Access to the Field of Geometry and Reflectance Acquisition
The Petit Trianon in Versailles: The Virtual, an Historic Reality
Automatic Segmentation of Archaeological Fragments with Relief Patterns using Convolutional Neural Networks
Atalaya3D: Making Universities' Cultural Heritage Accessible Through 3D Technologies
Five Years After: The London Charter Revisited
3D MURALE: a multimedia system for archaeology
An Ontology for 3D Cultural Objects
Reflection Transformation Imaging and Virtual Representations of Coins from the Hospice of the Grand St. Bernard
11th International Symposium on Virtual Reality, Archaeology, and Cultural Heritage, incorporating the 8th Eurographics Workshop on Graphics and Cultural Heritage, VAST 2010, Paris, France, September 21-24, 2010
Verification and Acceptance Tests for High Definition 3D Surface Scanners
Lens Calibration for Focus Shift Correction in Close-Range Multispectral Imaging
Automatic Reconstruction of Virtual Heritage Sites
Development of a High Resolution Topography and Color Scanner to Capture Crack Patterns of Paintings
3D orientation of archaeological fragments coming from a Gothic spire
Rapid Visualization of Large Point-Based Surfaces
Histogram of Oriented Gradients for Maya Glyph Retrieval
Rendering of large and complex urban environments for real time heritage reconstructions
Snapshot Augmented Reality - Augmented Photography
5th International Symposium on Virtual Reality, Archaeology and Intelligent Cultural Heritage, incorporating the 2nd Eurographics Workshop on Graphics and Cultural Heritage, VAST 2004, Brussels and Oudenaarde, Belgium, December 7-10, 2004
Registration of Multi-Spectral Manuscript Images
Interactive Exploration of Gigantic Point Clouds on Mobile Devices
Real-time Shader Rendering for Crowds in Virtual Heritage
Dense 3D Point Cloud Generation from Multiple High-resolution Spherical Images
Meeting the spirit of history
Analysis of Document Snippets as a Basis for Reconstruction