Probably almost discriminative learning
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The minimum L-complexity algorithm and its applications to learning non-parametric rules
COLT '94 Proceedings of the seventh annual conference on Computational learning theory
Efficient top-down induction of logic programs
ACM SIGART Bulletin
Cluster-based text categorization: a comparison of category search strategies
SIGIR '95 Proceedings of the 18th annual international ACM SIGIR conference on Research and development in information retrieval
IEEE Transactions on Pattern Analysis and Machine Intelligence
An experimental and theoretical comparison of model selection methods
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
COLT '95 Proceedings of the eighth annual conference on Computational learning theory
Region Competition: Unifying Snakes, Region Growing, and Bayes/MDL for Multiband Image Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Towards robust model selection using estimation and approximation error bounds
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
Predicting a binary sequence almost as well as the optimal biased coin
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
A randomized approximation of the MDL for stochastic models with hidden variables
COLT '96 Proceedings of the ninth annual conference on Computational learning theory
An Experimental and Theoretical Comparison of Model SelectionMethods
Machine Learning - Special issue on the eighth annual conference on computational learning theory, (COLT '95)
Discretisation in Lazy Learning Algorithms
Artificial Intelligence Review - Special issue on lazy learning
Journal of Mathematical Imaging and Vision
Automatic subspace clustering of high dimensional data for data mining applications
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
Geometric Information Criterion for Model Selection
International Journal of Computer Vision
Local Adaptive Subspace Regression
Neural Processing Letters
Prequential and Cross-Validated Regression Estimation
Machine Learning
Theoretical analysis of a class of randomized regularization methods
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Viewing all models as “probabilistic”
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
An on-line agglomerative clustering method for nonstationary data
Neural Computation
An Efficient, Probabilistically Sound Algorithm for Segmentation andWord Discovery
Machine Learning - Special issue on natural language learning
Scalable algorithms for mining large databases
KDD '99 Tutorial notes of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
General and Efficient Multisplitting of Numerical Attributes
Machine Learning
XTRACT: a system for extracting document type descriptors from XML documents
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
Computational Economics - Computational Studies at Stanford
Discovery and Segmentation of Activities in Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
DCG induction using MDL and parsed corpora
Learning language in logic
Proceedings of the 10th international conference on World Wide Web
Unsupervised Learning of Finite Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maximum likelihood network topology identification from edge-based unicast measurements
SIGMETRICS '02 Proceedings of the 2002 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
COOLCAT: an entropy-based algorithm for categorical clustering
Proceedings of the eleventh international conference on Information and knowledge management
Automatic Construction of Decision Trees from Data: A Multi-Disciplinary Survey
Data Mining and Knowledge Discovery
RainForest—A Framework for Fast Decision Tree Construction of Large Datasets
Data Mining and Knowledge Discovery
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
Data Mining and Knowledge Discovery
Finding overlapping components with MML
Statistics and Computing
On predictive distributions and Bayesian networks
Statistics and Computing
MML clustering of multi-state, Poisson, vonMises circular and Gaussian distributions
Statistics and Computing
A permutation test for randomness with power against smooth variation
Statistics and Computing
Testing Time Series for Nonlinearity
Statistics and Computing
Structure in the Space of Value Functions
Machine Learning
Blobworld: Image Segmentation Using Expectation-Maximization and Its Application to Image Querying
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Probabilistic Framework for the Hierarchic Organisation and Classification of Document Collections
Journal of Intelligent Information Systems
XTRACT: Learning Document Type Descriptors from XML Document Collections
Data Mining and Knowledge Discovery
A Guide to the Literature on Learning Probabilistic Networks from Data
IEEE Transactions on Knowledge and Data Engineering
An Empirical Study of Domain Knowledge and Its Benefits to Substructure Discovery
IEEE Transactions on Knowledge and Data Engineering
R-MINI: An Iterative Approach for Generating Minimal Rules from Examples
IEEE Transactions on Knowledge and Data Engineering
Cooperative Robust Estimation Using Layers of Support
IEEE Transactions on Pattern Analysis and Machine Intelligence
Nonparametric Segmentation of Curves into Various Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Intelligent Systems
Scalable Discovery of Informative Structural Concepts Using Domain Knowledge
IEEE Expert: Intelligent Systems and Their Applications
Knowledge discovery with second-order relations
Knowledge and Information Systems
Using a mixture of probabilistic decision trees for direct prediction of protein function
RECOMB '03 Proceedings of the seventh annual international conference on Research in computational molecular biology
3D Statistical Shape Models Using Direct Optimisation of Description Length
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part III
ECCV '00 Proceedings of the 6th European Conference on Computer Vision-Part II
EMCL '01 Proceedings of the 12th European Conference on Machine Learning
Synthesizing Graphical Models Employing Explaining Away
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Mining Positive and Negative Knowledge in Clinical Databases Based on Rough Set Model
PKDD '01 Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Mining Surprising Patterns Using Temporal Description Length
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
RainForest - A Framework for Fast Decision Tree Construction of Large Datasets
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
SPRINT: A Scalable Parallel Classifier for Data Mining
VLDB '96 Proceedings of the 22th International Conference on Very Large Data Bases
MDL Based Model Selection for Relevance Vector Regression
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Mining Dependence Structures from Statistical Learning Perspective
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
Accuracy and Coverage in Rough Set Rule Induction
TSCTC '02 Proceedings of the Third International Conference on Rough Sets and Current Trends in Computing
EMMCVPR '99 Proceedings of the Second International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
Brownian Warps: A Least Committed Prior for Non-rigid Registration
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Recognizing Objects by Their Appearance Using Eigenimages
SOFSEM '00 Proceedings of the 27th Conference on Current Trends in Theory and Practice of Informatics
Blobworld: A System for Region-Based Image Indexing and Retrieval
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Segmenting by Compression Using Linear Scale-Space and Watersheds
SCALE-SPACE '99 Proceedings of the Second International Conference on Scale-Space Theories in Computer Vision
Information Theoretic Based Segments for Language Identification
TSD '99 Proceedings of the Second International Workshop on Text, Speech and Dialogue
Extended Stochastic Complexity and Minimax Relative Loss Analysis
ALT '99 Proceedings of the 10th International Conference on Algorithmic Learning Theory
Subspace Clustering Based on Compressibility
DS '02 Proceedings of the 5th International Conference on Discovery Science
Classification of Object Sequences Using Syntactical Structure
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Discovery of Definition Patterns by Compressing Dictionary Sentences
Progress in Discovery Science, Final Report of the Japanese Discovery Science Project
Computational Characteristics of Law Discovery Using Neural Networks
DS '98 Proceedings of the First International Conference on Discovery Science
Automatic Language-Specific Stemming in Information Retrieval
CLEF '00 Revised Papers from the Workshop of Cross-Language Evaluation Forum on Cross-Language Information Retrieval and Evaluation
Strong Entropy Concentration, Game Theory, and Algorithmic Randomness
COLT '01/EuroCOLT '01 Proceedings of the 14th Annual Conference on Computational Learning Theory and and 5th European Conference on Computational Learning Theory
Revising Qualitative Models of Gene Regulation
DS '02 Proceedings of the 5th International Conference on Discovery Science
Complexity Selection of the Self-Organizing Map
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
SyMP: an efficient clustering approach to identify clusters of arbitrary shapes in large data sets
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Knowledge evaluation: Other evaluations: minimum description length
Handbook of data mining and knowledge discovery
Handbook of data mining and knowledge discovery
Predicting a binary sequence almost as well as the optimal biased coin
Information and Computation
Discovery of approximate knowledge in medical databases based on rough set model
Data mining, rough sets and granular computing
Constrained monotone regression of ROC curves and histograms using splines and polynomials
ICIP '95 Proceedings of the 1995 International Conference on Image Processing (Vol.2)-Volume 2 - Volume 2
Journal of Logic, Language and Information
Hidden Markov Random Field Model Selection Criteria Based on Mean Field-Like Approximations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning with mixtures of trees
The Journal of Machine Learning Research
Graph-based hierarchical conceptual clustering
The Journal of Machine Learning Research
A divisive information theoretic feature clustering algorithm for text classification
The Journal of Machine Learning Research
Using a Stochastic Complexity Measure to Check the Efficient Market Hypothesis
Computational Economics
Distinctive Features of Minimization of a Risk Functional in Mass Data Sets
Cybernetics and Systems Analysis
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Modeling spatial-temporal data with a short observation history
Knowledge and Information Systems
Graph-based relational learning: current and future directions
ACM SIGKDD Explorations Newsletter
Optimality of universal Bayesian sequence prediction for general loss and alphabet
The Journal of Machine Learning Research
Modeling the adaptive visual system: a survey of principled approaches
Neural Networks - Special issue: Neuroinformatics
International Journal of Computer Vision
Unsupervised learning of the morphology of a natural language
Computational Linguistics
Generalizing case frames using a thesaurus and the MDL principle
Computational Linguistics
Bootstrapping morphological analyzers by combining human elicitation and machine learning
Computational Linguistics
Learning dependencies between case frame slots
Computational Linguistics
Word clustering and disambiguation based on co-occurrence data
Natural Language Engineering
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
On some properties of the NML estimator for Bernoulli strings
Information Processing Letters
Word clustering and disambiguation based on co-occurrence data
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Linguistic structure as composition and perturbation
ACL '96 Proceedings of the 34th annual meeting on Association for Computational Linguistics
Gaussian Mixture Models for on-line signature verification
WBMA '03 Proceedings of the 2003 ACM SIGMM workshop on Biometrics methods and applications
Influence of the Noise Model on Level Set Active Contour Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of stochastic attribute-value grammars using an informative sample
COLING '00 Proceedings of the 18th conference on Computational linguistics - Volume 1
Clustering words with the MDL principle
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Learning dependencies between case frame slots
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 1
Order preserving encryption for numeric data
SIGMOD '04 Proceedings of the 2004 ACM SIGMOD international conference on Management of data
Improving optical Fourier pattern recognition by accommodating the missing information
Information Sciences: an International Journal - Special issue: Optics and information sciences
Range Image Segmentation by an Effective Jump-Diffusion Method
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simultaneous Feature Selection and Clustering Using Mixture Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Uncertainty Modeling and Model Selection for Geometric Inference
IEEE Transactions on Pattern Analysis and Machine Intelligence
Illumination insensitive recognition using eigenspaces
Computer Vision and Image Understanding
Secure Comparison of Encrypted Data in Wireless Sensor Networks
WIOPT '05 Proceedings of the Third International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks
Unsupervised segmentation of words using prior distributions of morph length and frequency
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
Automatic Subspace Clustering of High Dimensional Data
Data Mining and Knowledge Discovery
Qualitative comparison of graph-based and logic-based multi-relational data mining: a case study
MRDM '05 Proceedings of the 4th international workshop on Multi-relational mining
eMailSift: Email Classification Based on Structure and Content
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Robust growing neural gas algorithm with application in cluster analysis
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Comparison of graph-based and logic-based multi-relational data mining
ACM SIGKDD Explorations Newsletter
Beyond Tracking: Modelling Activity and Understanding Behaviour
International Journal of Computer Vision
Fluctuation-Dissipation Theorem and Models of Learning
Neural Computation
Estimating Entropy Rates with Bayesian Confidence Intervals
Neural Computation
Unsupervised learning of morphology using a novel directed search algorithm: taking the first step
MPL '02 Proceedings of the ACL-02 workshop on Morphological and phonological learning - Volume 6
Unsupervised discovery of morphemes
MPL '02 Proceedings of the ACL-02 workshop on Morphological and phonological learning - Volume 6
A Unified View on Clustering Binary Data
Machine Learning
Gradient-Based Optimization of Hyperparameters
Neural Computation
Stochastic Motion and the Level Set Method in Computer Vision: Stochastic Active Contours
International Journal of Computer Vision
Model Selection for Unsupervised Learning of Visual Context
International Journal of Computer Vision
Subdue: compression-based frequent pattern discovery in graph data
Proceedings of the 1st international workshop on open source data mining: frequent pattern mining implementations
Interactive wrapper generation with minimal user effort
Proceedings of the 15th international conference on World Wide Web
Grammar induction by MDL-based distributional classification
New developments in parsing technology
Designing and Modeling Smart Environments (Invited Paper)
WOWMOM '06 Proceedings of the 2006 International Symposium on on World of Wireless, Mobile and Multimedia Networks
Evolutionary concept learning in first order logic: an overview
AI Communications
Computers and Operations Research
Evaluation relaxation using substructural information and linear estimation
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Adaptive discretization for probabilistic model building genetic algorithms
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Automatic parameter selection for a k-segments algorithm for computing principal curves
Pattern Recognition Letters
Information theory and statistics: a tutorial
Communications and Information Theory
Maximum Likelihood Robust Regression by Mixture Models
Journal of Mathematical Imaging and Vision
Structural risk minimization using nearest neighbor rule
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 2
An algorithm for the unsupervised learning of morphology
Natural Language Engineering
Unsupervised models for morpheme segmentation and morphology learning
ACM Transactions on Speech and Language Processing (TSLP)
On the Computational Complexity of Optimal Multisplitting
Fundamenta Informaticae - Intelligent Systems
How smart are our environments? An updated look at the state of the art
Pervasive and Mobile Computing
Graph-based Relational Learning with Application to Security
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
Minimax Entropy Principle and Its Application to Texture Modeling
Neural Computation
Efficient Shape Modeling: ⋮-Entropy, Adaptive Coding, and Boundary Curves -vs- Blum's Medial Axis
International Journal of Computer Vision
Real-coded ECGA for economic dispatch
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Characteristic determination for solid state devices with evolutionary computation: a case study
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Diagnosis of breast cancer using Bayesian networks: A case study
Computers in Biology and Medicine
Parsimony principles for software components and metalanguages
GPCE '07 Proceedings of the 6th international conference on Generative programming and component engineering
Graph-Based Analysis of Human Transfer Learning Using a Game Testbed
IEEE Transactions on Knowledge and Data Engineering
Morph-based speech recognition and modeling of out-of-vocabulary words across languages
ACM Transactions on Speech and Language Processing (TSLP)
A minimum description length objective function for groupwise non-rigid image registration
Image and Vision Computing
Independent increment processes for human motion recognition
Computer Vision and Image Understanding
The Simplicity and Power model for inductive inference
Artificial Intelligence Review
Statistical Characterization of Protein Ensembles
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Learning curves for error minimum and maximum likelihood algorithms
Neural Computation
Rate of convergence in density estimation using neural networks
Neural Computation
Learning population codes by minimizing description length
Neural Computation
Combining probabilistic models for explanatory productivity estimation
Information and Software Technology
Anomaly detection in data represented as graphs
Intelligent Data Analysis
Causal analysis for performance modeling of computer programs
Scientific Programming
Brownian Warps for Non-Rigid Registration
Journal of Mathematical Imaging and Vision
Bayes Reconstruction of Missing Teeth
Journal of Mathematical Imaging and Vision
An Information Criterion for Variable Selection in Support Vector Machines
The Journal of Machine Learning Research
Segment-based adaptive hyper-Erlang model for long-tailed network traffic approximation
The Journal of Supercomputing
Constructing comprehensive summaries of large event sequences
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
International Journal of Computer Vision
On-Line Classification of Human Activities
IbPRIA '07 Proceedings of the 3rd Iberian conference on Pattern Recognition and Image Analysis, Part II
Towards Data Mining Without Information on Knowledge Structure
PKDD 2007 Proceedings of the 11th European conference on Principles and Practice of Knowledge Discovery in Databases
DB-FSG: An SQL-Based Approach for Frequent Subgraph Mining
DEXA '08 Proceedings of the 19th international conference on Database and Expert Systems Applications
Extraction of curvilinear features from noisy point patterns using principal curves
Pattern Recognition Letters
Optimising dynamic graphical models for video content analysis
Computer Vision and Image Understanding
Artificial intelligence on the body, in the home, and beyond
BodyNets '08 Proceedings of the ICST 3rd international conference on Body area networks
Nonparametric Level-Set Segmentation Based on the Minimization of the Stochastic Complexity
ACIVS '08 Proceedings of the 10th International Conference on Advanced Concepts for Intelligent Vision Systems
Soft Feature Selection by Using a Histogram-Based Classifier
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
Prefetching based on web usage mining
Proceedings of the ACM/IFIP/USENIX 2003 International Conference on Middleware
A Hidden Semi-Markov Model-Based Speech Synthesis System
IEICE - Transactions on Information and Systems
The Nitech-NAIST HMM-Based Speech Synthesis System for the Blizzard Challenge 2006
IEICE - Transactions on Information and Systems
Negative Encoding Length as a Subjective Interestingness Measure for Groups of Rules
PAKDD '09 Proceedings of the 13th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining
Graph-based approaches to insider threat detection
Proceedings of the 5th Annual Workshop on Cyber Security and Information Intelligence Research: Cyber Security and Information Intelligence Challenges and Strategies
A computational approximation to the AIXI model
Proceedings of the 2008 conference on Artificial General Intelligence 2008: Proceedings of the First AGI Conference
Learning context-free grammars to extract relations from text
Proceedings of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence
Structural break estimation of noisy sinusoidal signals
Signal Processing
Applications and explanations of Zipf's law
NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
Reconciliation of unsupervised clustering, segmentation and cohesion
NeMLaP3/CoNLL '98 Proceedings of the Joint Conferences on New Methods in Language Processing and Computational Natural Language Learning
Unsupervised discovery of Persian morphemes
EACL '06 Proceedings of the Eleventh Conference of the European Chapter of the Association for Computational Linguistics: Posters & Demonstrations
Substructure discovery using minimum description length and background knowledge
Journal of Artificial Intelligence Research
Discriminative model selection for belief net structures
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
A learning architecture for automating the intelligent environment
IAAI'05 Proceedings of the 17th conference on Innovative applications of artificial intelligence - Volume 3
Priors in Bayesian learning of phonological rules
SIGMorPhon '04 Proceedings of the 7th Meeting of the ACL Special Interest Group in Computational Phonology: Current Themes in Computational Phonology and Morphology
Exploring variant definitions of pointer length in MDL
SIGPHON '06 Proceedings of the Eighth Meeting of the ACL Special Interest Group on Computational Phonology and Morphology
Law discovery using neural networks
IJCAI'97 Proceedings of the Fifteenth international joint conference on Artifical intelligence - Volume 2
A unified model of structural organization in language and music
Journal of Artificial Intelligence Research
Bayesian learning over conflicting data: predictions for language change
SigMorPhon '08 Proceedings of the Tenth Meeting of ACL Special Interest Group on Computational Morphology and Phonology
Unsupervised word segmentation for Sesotho using Adaptor Grammars
SigMorPhon '08 Proceedings of the Tenth Meeting of ACL Special Interest Group on Computational Morphology and Phonology
Visual tag dictionary: interpreting tags with visual words
WSMC '09 Proceedings of the 1st workshop on Web-scale multimedia corpus
Constructing comprehensive summaries of large event sequences
ACM Transactions on Knowledge Discovery from Data (TKDD)
Classifiers: a theoretical and empirical study
IJCAI'91 Proceedings of the 12th international joint conference on Artificial intelligence - Volume 2
Hierarchical Bayesian clustering for automatic text classification
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Data mining based Bayesian networks for best classification
Computational Statistics & Data Analysis
Using morphology and syntax together in unsupervised learning
PMHLA '05 Proceedings of the Workshop on Psychocomputational Models of Human Language Acquisition
Spatial fading correlation model using mixtures of Von Mises Fisher distributions
IEEE Transactions on Wireless Communications
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Unrestricted BIC context tree estimation for not necessarily finite memory processes
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Applying graph-based anomaly detection approaches to thediscovery of insider threats
ISI'09 Proceedings of the 2009 IEEE international conference on Intelligence and security informatics
Exploit camera metadata for enhancing interesting region detection and photo retrieval
Multimedia Tools and Applications
Learning Gaussian mixture models with entropy-based criteria
IEEE Transactions on Neural Networks
Inferring Graph Grammars by Detecting Overlap in Frequent Subgraphs
International Journal of Applied Mathematics and Computer Science - Special Section: Selected Topics in Biological Cybernetics, Special Editors: Andrzej Kasiński and Filip Ponulak
Perceptually relevant and piecewise linear matching of silhouettes
Pattern Recognition
Enhanced neural gas network for prototype-based clustering
Pattern Recognition
Managing Adaptive Versatile environments
Pervasive and Mobile Computing
MLDM'03 Proceedings of the 3rd international conference on Machine learning and data mining in pattern recognition
Targeting differentially co-regulated genes by multiobjective and multimodal optimization
EvoBIO'07 Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
A Markov chain approach to multiple classifier fusion
MCS'03 Proceedings of the 4th international conference on Multiple classifier systems
ILP'02 Proceedings of the 12th international conference on Inductive logic programming
Mode reconstruction for source coding and multi-modal control
HSCC'03 Proceedings of the 6th international conference on Hybrid systems: computation and control
Non-parametric surface-based regularisation for building statistical shape models
IPMI'07 Proceedings of the 20th international conference on Information processing in medical imaging
The polynomial Fourier transform with minimum mean square error for noisy data
Journal of Computational and Applied Mathematics
A generative pattern model for mining binary datasets
Proceedings of the 2010 ACM Symposium on Applied Computing
Fast NML computation for Naive Bayes models
DS'07 Proceedings of the 10th international conference on Discovery science
Characteristics of accuracy and coverage in rule induction
RSFDGrC'03 Proceedings of the 9th international conference on Rough sets, fuzzy sets, data mining, and granular computing
Cov-HGMEM: an improved hierarchical clustering algorithm
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
Word clustering with validity indices
Canadian AI'08 Proceedings of the Canadian Society for computational studies of intelligence, 21st conference on Advances in artificial intelligence
Bayesian Ying Yang system, best harmony learning, and Gaussian manifold based family
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
A greedy merge learning algorithm for Gaussian mixture model
IITA'09 Proceedings of the 3rd international conference on Intelligent information technology application
Situated cognition and the role of multi-agent models in explaining language structure
Adaptive agents and multi-agent systems
Empirical analysis of an on-line adaptive system using a mixture of Bayesian networks
Information Sciences: an International Journal
Machine learning problems from optimization perspective
Journal of Global Optimization
Discovering Piecewise Linear Models of Grid Workload
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Trajectory classification using switched dynamical hidden Markov models
IEEE Transactions on Image Processing
Effective complexity and its relation to logical depth
IEEE Transactions on Information Theory
A fast algorithm for robust mixtures in the presence of measurement errors
IEEE Transactions on Neural Networks
Semi-supervised learning of concatenative morphology
SIGMORPHON '10 Proceedings of the 11th Meeting of the ACL Special Interest Group on Computational Morphology and Phonology
Analysis of the time evolution of scientograms using the subdue graph mining algorithm
IPMU'10 Proceedings of the Computational intelligence for knowledge-based systems design, and 13th international conference on Information processing and management of uncertainty
Unsupervised morpheme analysis with allomorfessor
CLEF'09 Proceedings of the 10th cross-language evaluation forum conference on Multilingual information access evaluation: text retrieval experiments
Object of interest detection by saliency learning
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
ITCH: information-theoretic cluster hierarchies
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part I
Hidden semantic concept discovery in region based image retrieval
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Discovery of skills from motion data
JSAI'03/JSAI04 Proceedings of the 2003 and 2004 international conference on New frontiers in artificial intelligence
Mixing linear SVMs for nonlinear classification
IEEE Transactions on Neural Networks
Gramin: a system for incremental learning of programming language grammars
Proceedings of the 4th India Software Engineering Conference
An information-theoretic, vector-space-model approach to cross-language information retrieval*
Natural Language Engineering
Nonparametric combinatorial sequence models
RECOMB'11 Proceedings of the 15th Annual international conference on Research in computational molecular biology
Building computational models of swarms from simulated positional data
ICSI'11 Proceedings of the Second international conference on Advances in swarm intelligence - Volume Part I
Data mining in meningoencephalitis: the starting point of discovery challenge
ISMIS'11 Proceedings of the 19th international conference on Foundations of intelligent systems
A generative dyadic aspect model for evidence accumulation clustering
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
An information theoretic approach to learning generative graph prototypes
SIMBAD'11 Proceedings of the First international conference on Similarity-based pattern recognition
Technical communique: A two-stage information criterion for stochastic systems revisited
Automatica (Journal of IFAC)
Towards Non-Stationary Grid Models
Journal of Grid Computing
On supervised selection of Bayesian networks
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
UAI'00 Proceedings of the Sixteenth conference on Uncertainty in artificial intelligence
Minimum encoding approaches for predictive modeling
UAI'98 Proceedings of the Fourteenth conference on Uncertainty in artificial intelligence
Learning Bayesian networks with local structure
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
On the sample complexity of learning Bayesian networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Using new data to refine a Bayesian network
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence
Using causal information and local measures to learn Bayesian networks
UAI'93 Proceedings of the Ninth international conference on Uncertainty in artificial intelligence
ISBMDA'06 Proceedings of the 7th international conference on Biological and Medical Data Analysis
Designing smart environments: a paradigm based on learning and prediction
PReMI'05 Proceedings of the First international conference on Pattern Recognition and Machine Intelligence
Neighboring feature clustering
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
A unified information-theoretic approach to groupwise non-rigid registration and model building
IPMI'05 Proceedings of the 19th international conference on Information Processing in Medical Imaging
WSDL term tokenization methods for IR-style Web services discovery
Science of Computer Programming
Color image segmentation through unsupervised gaussian mixture models
IBERAMIA-SBIA'06 Proceedings of the 2nd international joint conference, and Proceedings of the 10th Ibero-American Conference on AI 18th Brazilian conference on Advances in Artificial Intelligence
UBM based speaker segmentation and clustering for 2-speaker detection
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
Non-uniform kernel allocation based parsimonious HMM
ISCSLP'06 Proceedings of the 5th international conference on Chinese Spoken Language Processing
Asymptotic log-loss of prequential maximum likelihood codes
COLT'05 Proceedings of the 18th annual conference on Learning Theory
A multi-agent approach to controlling a smart environment
Designing Smart Homes
Image segmentation for robots: fast self-adapting gaussian mixture model
ICIAR'10 Proceedings of the 7th international conference on Image Analysis and Recognition - Volume Part I
Graph based k-means clustering
Signal Processing
Brief paper: Structure detection and parameter estimation for NARX models in a unified EM framework
Automatica (Journal of IFAC)
Detecting changes of clustering structures using normalized maximum likelihood coding
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Unsupervised grammar inference using the minimum description length principle
MLDM'12 Proceedings of the 8th international conference on Machine Learning and Data Mining in Pattern Recognition
Graph-based Relational Learning with Application to Security
Fundamenta Informaticae - Advances in Mining Graphs, Trees and Sequences
On the Computational Complexity of Optimal Multisplitting
Fundamenta Informaticae - Intelligent Systems
Event detection in underwater domain by exploiting fish trajectory clustering
Proceedings of the 1st ACM international workshop on Multimedia analysis for ecological data
A multiobjective evolutionary programming framework for graph-based data mining
Information Sciences: an International Journal
Three-objective subgraph mining using multiobjective evolutionary programming
Journal of Computer and System Sciences
A rule-based event detection system for real-life underwater domain
Machine Vision and Applications
Project dynamics and emergent complexity
Computational & Mathematical Organization Theory
Learning a taxonomy of predefined and discovered activity patterns
Journal of Ambient Intelligence and Smart Environments
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