yusuke1997/dblp-id-title huggingface dataset:
Multitask Soft Option Learning
Tractable Bayesian Learning of Tree Belief Networks
HDP-Flow: Generalizable Bayesian Nonparametric Model for Time Series State Discovery
Dynamic consistency and decision making under vacuous belief
Pessimistic Model Selection for Offline Deep Reinforcement Learning
A Complete Generalized Adjustment Criterion
Partial Identification with Proxy of Latent Confoundings via Sum-of-ratios Fractional Programming
Generative Uncertainty in Diffusion Models
End-to-End Learning for Fair Multiobjective Optimization Under Uncertainty
Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability
Bidding under Uncertainty: Theory and Experiments
Quantifying Representation Reliability in Self-Supervised Learning Models
On Sensitivity of the MAP Bayesian Network Structure to the Equivalent Sample Size Parameter
Best Arm Identification with Possibly Biased Offline Data
A Comparison of Two MCMC Algorithms for Hierarchical Mixture Models
Approximate Decomposition: A Method for Bounding and Estimating Probabilistic and Deterministic Queries
Interpolating between sampling and variational inference with infinite stochastic mixtures
Qualitative MDPs and POMDPs: An Order-Of-Magnitude Approximation
Improving Imprecise Compressive Sensing Models
Budgeted Learning of Naive-Bayes Classifiers
Learning Peptide-Spectrum Alignment Models for Tandem Mass Spectrometry
Generalising fuzzy logic probabilistic inferences
Strong completeness and faithfulness in Bayesian networks
Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization
Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes
Lp: A Logic for Statistical Information
Compiling Possibilistic Networks: Alternative Approaches to Possibilistic Inference
Popularity Agnostic Evaluation of Knowledge Graph Embeddings
Mix-nets: Factored Mixtures of Gaussians in Bayesian Networks with Mixed Continuous And Discrete Variables
Sparse matrix-variate Gaussian process blockmodels for network modeling
On the Complexity of Strong and Epistemic Credal Networks
Updating with incomplete observations
SAT-Based Causal Discovery under Weaker Assumptions
Decision-Analytic Approaches to Operational Decision Making: Application and Observation
UAI '90: Proceedings of the Sixth Annual Conference on Uncertainty in Artificial Intelligence, MIT, Cambridge, MA, USA, July 27-29, 1990
Defining Relative Likelihood in Partially-Ordered Preferential Structures
Fuzzy logic and probability
Annealing Paths for the Evaluation of Topic Models
Causal Consistency of Structural Equation Models
Systematic vs. Non-systematic Algorithms for Solving the MPE Task
Online Policy Optimization for Robust Markov Decision Process
CLAIM: curriculum learning policy for influence maximization in unknown social networks
Efficient Algorithms for Bayesian Network Parameter Learning from Incomplete Data
Deterministic POMDPs Revisited
Particle Filters in Robotics
Decision-Making under Ordinal Preferences and Comparative Uncertainty
SMT-based weighted model integration with structure awareness
Towards a Better Understanding and Regularization of GAN Training Dynamics
Improved Stochastic Trace Estimation using Mutually Unbiased Bases
Knowledge-Based Decision Model Construction for the Hierarchical Diagnosis: A Preliminary Report
Distributional Reinforcement Learning with Dual Expectile-Quantile Regression
An Information-Theoretic External Cluster-Validity Measure
Reinforcement Learning with Partially Known World Dynamics
Update Rules for Parameter Estimation in Bayesian Networks
Reduction of Maximum Entropy Models to Hidden Markov Models
The Do-Calculus Revisited
A New Axiomatization for Likelihood Gambles
Quantifying Local Model Validity using Active Learning
Min/max stability and box distributions
Data-Dependent Sparsity for Subspace Clustering
Conditional Probability Tree Estimation Analysis and Algorithms
Efficient Value of Information Computation
The Bounded Bayesian
Debugging the Evidence Chain
Building Bridges: Viewing Active Learning from the Multi-Armed Bandit Lens
Self-Confirming Price Prediction for Bidding in Simultaneous Ascending Auctions
Efficient Search-Based Inference for noisy-OR Belief Networks: TopEpsilon
σ-Maximal Ancestral Graphs
Data Analysis with Bayesian Networks: A Bootstrap Approach
Building a Stochastic Dynamic Model of Application Use
New Advances and Theoretical Insights into EDML
Application of kernel hypothesis testing on set-valued data
Chain graphs for learning
Learning functions on multiple sets using multi-set transformers
Uncertainty Estimation with Recursive Feature Machines
Decision Methods for Adaptive Task-Sharing in Associate Systems
Variational multiple shooting for Bayesian ODEs with Gaussian processes
Analysis of Bootstrap and Subsampling in High-dimensional Regularized Regression
Tightening MRF Relaxations with Planar Subproblems
New Probabilistic Bounds on Eigenvalues and Eigenvectors of Random Kernel Matrices
Uniform Solution Sampling Using a Constraint Solver As an Oracle
Improved Mean and Variance Approximations for Belief Net Responses via Network Doubling
When are post-hoc conceptual explanations identifiable?
Finding Interior Optimum of Black-box Constrained Objective with Bayesian Optimization
Hilbert Space Embeddings of POMDPs
Variance-Based Rewards for Approximate Bayesian Reinforcement Learning
Mesochronal Structure Learning
Artificial Decision Making Under Uncertainty in Intelligent Buildings
Dirichlet Process Mixtures of Generalized Mallows Models
Gibbs Sampling in Open-Universe Stochastic Languages
Object Recognition with Imperfect Perception and Redundant Description
Causal Calculus in the Presence of Cycles, Latent Confounders and Selection Bias
Detecting Causal Relations in the Presence of Unmeasured Variables
Convergence behavior of belief propagation: estimating regions of attraction via Lyapunov functions
Posterior Inference on Shallow Infinitely Wide Bayesian Neural Networks under Weights with Unbounded Variance
Estimation Procedures for Robust Sensor Control
Information and multi-sensor coordination
A Self-Supervised Terrain Roughness Estimator for Off-Road Autonomous Driving
Measuring the Risk of Public Contracts Using Bayesian Classifiers
Composing Inference Algorithms as Program Transformations
Towards a unified framework for fair and stable graph representation learning
Efficient MRF Energy Minimization via Adaptive Diminishing Smoothing
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Robust Planning in Uncertain Environments
Group Fairness in Predict-Then-Optimize Settings for Restless Bandits
Differentially private synthetic data using KD-trees
Bayesian Networks for Dependability Analysis: an Application to Digital Control Reliability
Uncertainty-aware sensitivity analysis using Rényi divergences
Proxy-informed Bayesian transfer learning with unknown sources
SDM-Net: A simple and effective model for generalized zero-shot learning
Possibilistic Answer Set Programming Revisited
Plan Development using Local Probabilistic Models
Statistical Mechanics of Biological Networks
Game Networks
A Bayesian Sampling Approach to Exploration in Reinforcement Learning
Bayes Nets in Educational Assessment: Where the Numbers Come From
Deliberation Scheduling for Time-Critical Sequential Decision Making
On Approximate Inference of Dynamic Latent Classification Models for Oil Drilling Monitoring
Identification of Strong Edges in AMP Chain Graphs
Robust Feature Selection by Mutual Information Distributions
Enhanced adaptive optics control with image to image translation
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, Catalina Island, CA, USA, August 14-18, 2012
Obtaining Calibrated Probabilities from Boosting
Partial Identifiability in Discrete Data with Measurement Error
Approximating probabilistic explanations via supermodular minimization
A Family of Computationally E cient and Simple Estimators for Unnormalized Statistical Models
Knowledge Engineering for Large Belief Networks
Human Control: Definitions and Algorithms
Gaussian Process Surrogate Models for Neural Networks
Collaborative Filtering and the Missing at Random Assumption
Bucket elimination: A unifying framework for probabilistic inference
Unsupervised anomaly detection with adversarial mirrored autoencoders
Testing Goodness of Fit of Conditional Density Models with Kernels
A General Identification Algorithm For Data Fusion Problems Under Systematic Selection
Knowledge engineering within a generalised bayesian framework
Deep Dirichlet process mixture models
Combining Multiple-valued Logics in Modular Expert Systems
UAI '91: Proceedings of the Seventh Annual Conference on Uncertainty in Artificial Intelligence, University of California at Los Angeles, Los Angeles, CA, USA, July 13-15, 1991
Domain Knowledge Uncertainty and Probabilistic Parameter Constraints
Probabilistic Programming for Birth-Death Models of Evolution Using an Alive Particle Filter with Delayed Sampling
Interval Structure: A Framework for Representing Uncertain Information
Topics Over Nonparametric Time: A Supervised Topic Model Using Bayesian Nonparametric Density Estimation
Bayesian optimization for modular black-box systems with switching costs
UAI '85: Proceedings of the First Annual Conference on Uncertainty in Artificial Intelligence, Los Angeles, CA, USA, July 10-12, 1985
Trusted-maximizers entropy search for efficient Bayesian optimization
Two current analysis challenges: Single Cell Omics and Nanopore Long-read Sequence Data
A non-iterative maximum entropy algorithm
Some Complexity Considerations in the Combination of Belief Networks
Gibbs Sampling in Factorized Continuous-Time Markov Processes
An Information-theoretic Perspective of Hierarchical Clustering on Graphs
Asynchronous Dynamic Bayesian Networks
A unified probabilistic model for learning latent factors and their connectivities from high-dimensional data
Bayesian structure learning using dynamic programming and MCMC
Causes and Explanations: A Structural-Model Approach: Part 1: Causes
A Graph-Theoretic Analysis of Information Value
Early-Exit Neural Networks with Nested Prediction Sets
Tightness Results for Local Consistency Relaxations in Continuous MRFs
Efficient Regret Bounds for Online Bid Optimisation in Budget-Limited Sponsored Search Auctions
E(2)-Equivariant Vision Transformer
A Markov Game Model for Valuing Player Actions in Ice Hockey
On the informativeness of supervision signals
Estimating Continuous Distributions in Bayesian Classifiers
Submodular Variational Inference for Network Reconstruction
Analysis of Thompson Sampling for Graphical Bandits Without the Graphs
An Expert System Framework for Non-monotonic Reasoning About Probabilistic Assumptions
On the Conditional Independence Implication Problem: A Lattice-Theoretic Approach
Fast Amortized Inference and Learning in Log-linear Models with Randomly Perturbed Nearest Neighbor Search
Scalable Nonparametric Bayesian Multilevel Clustering
Learning is planning: near Bayes-optimal reinforcement learning via Monte-Carlo tree search
Best Possible Q-Learning
A Concentration Theorem for Projections
Point-Based POMDP Algorithms: Improved Analysis and Implementation
Fairness-aware class imbalanced learning on multiple subgroups
An Efficient Algorithm for Computing Interventional Distributions in Latent Variable Causal Models
Join-graph based cost-shifting schemes
Formalizing Scenario Analysis
Bayes Networks for Sonar Sensor Fusion
Simplified and unified analysis of various learning problems by reduction to Multiple-Instance Learning
Anomaly Detection with Variance Stabilized Density Estimation
A General Statistical Framework for Designing Strategy-proof Assignment Mechanisms
Region-Based Approximations for Planning in Stochastic Domains
A Game-Theoretic Analysis of Updating Sets of Probabilities
Pivotal Pruning of Trade-offs in QPNs
Learning Optimal Chain Graphs with Answer Set Programming
Probabilistic Temporal Reasoning with Endogenous Change
Reward-machine-guided, self-paced reinforcement learning
The Lovasz-Bregman Divergence and connections to rank aggregation, clustering, and web ranking
A Fuzzy Logic Approach to Target Tracking
Differentially Private Stochastic Convex Optimization in (Non)-Euclidean Space Revisited
Planning with External Events
Sample Complexity of Multi-task Reinforcement Learning
First-Order Mixed Integer Linear Programming
Contrastive latent variable models for neural text generation
Investigation of MANET Routing Protocols via Quantitative Metrics
Image Visualization as per the User Appeal through Deep Learning
System Attribute Measures of Network Security Analyzer
Effective Healthcare Services by IoT-Based Model of Voluntary Doctors
Missing Value Imputation in Medical Records for Remote Health Care
Multi-user Detection in Wireless Networks Using Decision Feedback Signal Cancellation
Development of Early Prediction Model for Epileptic Seizures
Improving Accuracy for Intrusion Detection through Layered Approach Using Support Vector Machine with Feature Reduction
Narrow Band LNA Design Using OGMOSFET for Noise and Gain Analysis
A Review of Wireless Charging Nodes in Wireless Sensor Networks
Key Management Techniques for Securing MANET
Nearest Neighbor Search Technique Using Keywords and Threshold
Prediction of Cervical Cancer Based on the Life Style, Habits, and Diseases Using Regression Analysis Framework
An Effective TCP's Congestion Control Approach for Cross-Layer Design in MANET
An Efficient Context-Aware Music Recommendation Based on Emotion and Time Context
Monitoring Public Participation in Multilateral Initiatives Using Social Media Intelligence
A Survey Paper on a Compact Data Structure Based Technique for Mining Frequent Closed Item Set
Web-Based Service Recommendation System by Considering User Requirements
Leeway of Lean Concept to Optimize Big Data in Manufacturing Industry: An Exploratory Review
Human Face Detection Enabled Smart Stick for Visually Impaired People
Execution and Analysis of Topology Based Routing Protocols in VANET
Baron-Cohen Model Based Personality Classification Using Ensemble Learning
Skyline Computation for Big Data
Intelligent Bus stand Monitoring and Control
A Survey of various Sink Mobility based Techniques in Wireless Sensor Network
Emotional State Recognition with EEG Signals Using Subject Independent Approach
Automated Workload Management Using Machine Learning
ANN-Based Predictive State Modeling of Finite State Machines
Unsupervised Machine Learning for Clustering the Infected Leaves Based on the Leaf-Colors
Novel Outlier Detection by Integration of Clustering and Classification
Genetic Algorithm Approach for Optimization of Biomass Estimation at LiDAR
Significance of Ticket Analytics in Effective Software Maintenance: Awareness
WIR '16: Women in Research 2016, Indore India, March, 2016
Computerized Forensic Approach Using Data Mining Techniques
Data Science and Big Data Analytics, ACM-WIR 2018, Women In Research 2018, Indore, India, 5-6 January 2018
Implementation of Improved Energy-Efficient FIR Filter Using Reversible Logic
Techniques and Approaches for Disease Outbreak Prediction: A Survey
Analytical Trends and Practices of Web Intelligence
An Approach Used In Wireless Network to Detect Denial of Service Attack
Design and Implementation of Kerberos using DES Algorithm
Anomaly Detection Using Dynamic Sliding Window in Wireless Body Area Networks
Double Layer Anti-Reflective Coating of SiO2/ZnO for Photovoltaic Cell
ECG Steganography to secure patient data in an E-Healthcare System
Review of Quality of Service Based Techniques in Cloud Computing
Punjabi Stop Words: A Gurmukhi, Shahmukhi and Roman Scripted Chronicle
Dynamic Referencing Data Warehouse Employing Proposed Time Integrated Seed Based Element Engendered Cryptographic Algorithm
The Study of the Usage of Data Analytic and Clustering Techniques for Web Elements
Secure Sum Computation Using Homomorphic Encryption
Research Issue in Data Anonymization in Electronic Health Service: A Survey
Deep Dive Exploration of Mixed Reality in the World of Big Data
A Study of the Correlation Between Internet Addiction and Aggressive Behaviour Among the Namibian University Students
Extending Storage Life of Pears Using a Formulation Developed from a Terpenoidal Oligomer from Lac
Recommendation Framework for Diet and Exercise Based on Clinical Data: A Systematic Review
Errors Detection in Big Sensor Data on Cloud using Time Efficient Technique
Comparative Study of Optimal Clustering Techniques in Wireless Sensor Network: A Survey
E-alive: An Integrated Platform Based on Machine Learning Techniques to Aware and Educate Common People with the Current Statistics of Maternal and Child Health Care
Review of Machine Learning Algorithms in R software for Diagnosis of ESD Diseases
Handling Uncertainty in Linguistics Using Probability Theory
A Study on Benefits of Big Data for Healthcare Sector of India
Security Issues and Trust Management in Cloud Computing
Empirical relationship between Victim's occupation and their knowledge of Digital Forensic
Use of Internet of Things (IoT) in Healthcare: A Survey
Real-Time Big Data Analysis Architecture and Application
Security Assessment of SAODV Protocols in Mobile Ad hoc Networks
Gesture Recognition for VW & VO: Virtual Writing and Virtual Operation
Implementation of an Emergency Evacuation System Using Intelligent Routing Using QualNet Simulator
Review on Internet Traffic Sharing Using Markov Chain Model in Computer Network
Effiziente Bearbeitung von Abuse-Beschwerden
IT-Incident Management durch externe Dienstleistung - Die Lösung aller IT-Incident Management Probleme?
Einführung in die IT-Forensik
Visual Problem-Solving Support for New Event Triage in Centralized Network Security Monitoring: Challenges, Tools and Benefits
Eine Informationsbasis für zeitoptimiertes Incident Management
Integrationsplattform zur systemübergreifenden Erfassung und forensischen Analyse von Spurenträgern
Forensik: Einbettung in präventive und reaktive Unternehmensprozesse
The Challenge of Electronic Evidence: The European Response
Post Mortem Analysen mit OpenSource Software
Informationslogistische Ansätze für CERTs
IT-Incident Management & IT-Forensics - Erste Tagung der Fachgruppe SIDAR der Gesellschaft für Informatik, 24. - 25. November 2003 in Stuttgart, Deutschland
Elektronische Beweise!
Utilizing motion in humanoid robots to enhance spatial information recordedby microphone arrays
Robust variable-regularized RLS algorithms
Two-stage speech enhancement with manipulation of the cepstral excitation
Microphone array signal processing for robot audition
Kalman filter based stereo system identification with auto- and cross-decorrelation
An iterative multichannel subspace-based covariance subtraction method for relative transfer function estimation
Ensemble integration of calibrated speaker localization and statistical speech detection in domestic environments
The Athena-RC system for speech activity detection and speaker localization in the DIRHA smart home
Study of a generalized spherical array beamformer with adjustable binaural reproduction
Performance of fixed in-car microphone array beamformer under variations in car noise
Performance comparison of real-time single-channel speech dereverberation algorithms
An auxiliary-function approach to online independent vector analysis for real-time blind source separation
Self-localization of wireless acoustic sensors in meeting rooms
Long-term robot motion planning for active sound source localization with Monte Carlo tree search
A speech event detection and localization task for multiroom environments
Coherence-aware stereophonic residual echo estimation
Short-time multichannel noise correlation matrix estimators for acoustic signals
Spectrogram patch based acoustic event detection and classification in speech overlapping conditions
DOA estimation in noisy environment with unknown noise power using the EM algorithm
A hierarchical approach for the online, on-board detection and localisation of brake squeal using microphone arrays
HRTF-based two-dimensional robust least-squares frequency-invariant beamformer design for robot audition
Efficient training of acoustic models for reverberation-robust medium-vocabulary automatic speech recognition
Spatial aliasing-cancellation for circular microphone arrays
Joint noise and mask aware training for DNN-based speech enhancement with SUB-band features
The self-taught vocal interface
Single sensor audiovisual speech source separation
Clock drift estimation and compensation for asynchronous impulse response measurements
Performance analysis of the extended binaural MVDR beamformer with partial noise estimation in a homogeneous noise field
Circular microphone array with tangential pressure gradient sensors
Multigrid reconstruction of sound fields using moving microphones
Extraction of acoustic sources for multiple arrays based on the ray space transform
Multiple-target deep learning for LSTM-RNN based speech enhancement
A unified deep modeling approach to simultaneous speech dereverberation and recognition for the reverb challenge
EVD-based multi-channel dereverberation of a moving speaker using different RETF estimation methods
A GPU-accelerated real-time implementation of TRINICON-BSS for multiple separation units
Extraction of pinna spectral notches in the median plane of a virtual spherical microphone array
Neural networks for distant speech recognition
An improved uncertainty decoding scheme with weighted samples for multi-channel DNN-HMM hybrid systems
Speaker tracking in reverberant environments using multiple directions of arrival
Audio-visual tracking by density approximation in a sequential Bayesian filtering framework
Kernel spectrogram models for source separation
Adaptive interference rejection using generalized sidelobe canceller in spherical harmonics domain
Speech dereverberation with multi-channel linear prediction and sparse priors for the desired signal
Theoretical analysis of biased MMSE short-time spectral amplitude estimator and its extension to musical-noise-free speech enhancement
Robust and low-complexity blind source separation for meeting rooms
Multi-source estimation consistency for improved multiple direction-of-arrival estimation
Listening-area-informed sound field reproduction with Gaussian prior based on circular harmonic expansion
Transient noise reduction using nonnegative matrix factorization
4th Joint Workshop on Hands-free Speech Communication and Microphone Arrays, HSCMA 2014, Villers-les-Nancy, France, May 12-14, 2014
A fast phoneme recognition system based on sparse representation of test utterances
Fast computation of cubature formulae for the sphere
Exploring deep neural networks and deep autoencoders in reverberant speech recognition
A unified framework for multiple arrays on a robot and application to sound localization
Adaptive beamformer for spherical eigenbeamforming microphone arrays
Discriminativetensor dictionaries and sparsity for speaker identification
Investigating stranded GMM for improving automatic speech recognition
An extended experimental investigation of DNN uncertainty propagation for noise robust ASR
Deep bi-directional long short-term memory based speech enhancement for wind noise reduction
Content-adaptive speech enhancement by a sparsely-activated dictionary plus low rank decomposition
Sound field separation in a mixed acoustic environment using a sparse array of higher order spherical microphones
A comparison of different loudspeaker models to empirically estimated non-linearities
Towards real-time source counting by estimation of coherent-to-diffuse ratios from ad-hoc microphone array recordings
Methods to learn bank of filters steering nulls toward potential positions of a target source
Ad-hoc microphone array calibration from partial distance measurements
A study on search grid points for data-driven 3-D beamsteering
Word boundary agreementto combine multi-microphone hypotheses in distant speech recognition
Hands-free Speech Communications and Microphone Arrays, HSCMA 2017, San Francisco, CA, USA, March 1-3, 2017
Cost function for sound source localization with arbitrary microphone arrays