On predictive distributions and Bayesian networks
Statistics and Computing
Fine-grain web site structure discovery
WIDM '03 Proceedings of the 5th ACM international workshop on Web information and data management
Clustering web pages based on their structure
Data & Knowledge Engineering - Special issue: WIDM 2003
NML computation algorithms for tree-structured multinomial Bayesian networks
EURASIP Journal on Bioinformatics and Systems Biology
Fitness Function Comparison for GA-Based Feature Construction
Current Topics in Artificial Intelligence
Ranking the Uniformity of Interval Pairs
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
Decomposable Families of Itemsets
ECML PKDD '08 Proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases - Part II
Ad Hoc Data and the Token Ambiguity Problem
PADL '09 Proceedings of the 11th International Symposium on Practical Aspects of Declarative Languages
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
Self-correlating predictive information tracking for large-scale production systems
ICAC '09 Proceedings of the 6th international conference on Autonomic computing
Bayesian Inference Under Probability Constraints
Proceedings of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008
Feature Construction and Feature Selection in Presence of Attribute Interactions
HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems
Evolutionary multi-feature construction for data reduction: A case study
Applied Soft Computing
Data & Knowledge Engineering
A fast normalized maximum likelihood algorithm for multinomial data
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Approximation of the two-part MDL code
IEEE Transactions on Information Theory
Universal models for the exponential distribution
IEEE Transactions on Information Theory
IEEE Transactions on Information Theory
Learning string transformations from examples
Proceedings of the VLDB Endowment
Combining MDL transliteration training with discriminative modeling
NEWS '09 Proceedings of the 2009 Named Entities Workshop: Shared Task on Transliteration
Finiteness of redundancy, regret, Shtarkov sums, and Jeffreys integrals in exponential families
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 1
Strong Limit Theorems for the Bayesian Scoring Criterion in Bayesian Networks
The Journal of Machine Learning Research
Fast NML computation for Naive Bayes models
DS'07 Proceedings of the 10th international conference on Discovery science
False alarm rate estimation for information-theoretic-based source enumeration methods
EURASIP Journal on Advances in Signal Processing
Computable Bayesian compression for uniformly discretizable statistical models
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Initial synchronization for multi-cell OFDMA systems
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Varieties of Justification in Machine Learning
Minds and Machines
Approximation Spaces in Rough-Granular Computing
Fundamenta Informaticae - Understanding Computers' Intelligence Celebrating the 100th Volume of Fundamenta Informaticae in Honour of Helena Rasiowa
Selection of statistical thresholds in graphical models
EURASIP Journal on Bioinformatics and Systems Biology
Causal inference using the algorithmic Markov condition
IEEE Transactions on Information Theory
ICGI'10 Proceedings of the 10th international colloquium conference on Grammatical inference: theoretical results and applications
Automatic model adaptation for complex structured domains
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
Summarising data by clustering items
ECML PKDD'10 Proceedings of the 2010 European conference on Machine learning and knowledge discovery in databases: Part II
A minimum relative entropy principle for learning and acting
Journal of Artificial Intelligence Research
Selection of an optimal polyhedral surface model using the minimum description length principle
Proceedings of the 32nd DAGM conference on Pattern recognition
Line maps in cluttered environments
MICAI'10 Proceedings of the 9th Mexican international conference on Advances in artificial intelligence: Part I
Gaussian clusters and noise: an approach based on the minimum description length principle
DS'10 Proceedings of the 13th international conference on Discovery science
Baaz: a system for detecting access control misconfigurations
USENIX Security'10 Proceedings of the 19th USENIX conference on Security
Sensibility of linkage information and effectiveness of estimated distributions
Evolutionary Computation
PAC-Bayesian Analysis of Co-clustering and Beyond
The Journal of Machine Learning Research
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
The Journal of Machine Learning Research
Journal of Computational Neuroscience
Make it home: automatic optimization of furniture arrangement
ACM SIGGRAPH 2011 papers
Krimp: mining itemsets that compress
Data Mining and Knowledge Discovery
Information, Divergence and Risk for Binary Experiments
The Journal of Machine Learning Research
Detachable object detection with efficient model selection
EMMCVPR'11 Proceedings of the 8th international conference on Energy minimization methods in computer vision and pattern recognition
Compact coding for hyperplane classifiers in heterogeneous environment
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Non-redundant subgroup discovery in large and complex data
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part III
Cluster validity measures based on the minimum description length principle
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Proceedings of the 20th ACM international conference on Information and knowledge management
On signal representations within the Bayes decision framework
Pattern Recognition
A continuous max-flow approach to minimal partitions with label cost prior
SSVM'11 Proceedings of the Third international conference on Scale Space and Variational Methods in Computer Vision
LearnPADS++: incremental inference of ad hoc data formats
PADL'12 Proceedings of the 14th international conference on Practical Aspects of Declarative Languages
Feature reinforcement learning in practice
EWRL'11 Proceedings of the 9th European conference on Recent Advances in Reinforcement Learning
Mixability is bayes risk curvature relative to log loss
The Journal of Machine Learning Research
Clustering moodle data via ant colony optimization
ANTS'12 Proceedings of the 8th international conference on Swarm Intelligence
Discovering descriptive tile trees: by mining optimal geometric subtiles
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part I
A bayesian approach for classification rule mining in quantitative databases
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
MDL-Based analysis of time series at multiple time-scales
ECML PKDD'12 Proceedings of the 2012 European conference on Machine Learning and Knowledge Discovery in Databases - Volume Part II
Summarizing categorical data by clustering attributes
Data Mining and Knowledge Discovery
Minimum message length inference and mixture modelling of inverse gaussian distributions
AI'12 Proceedings of the 25th Australasian joint conference on Advances in Artificial Intelligence
Identifying dynamic data structures by learning evolving patterns in memory
TACAS'13 Proceedings of the 19th international conference on Tools and Algorithms for the Construction and Analysis of Systems
Parametric Estimation of the Local False Discovery Rate for Identifying Genetic Associations
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Replacing Causal Faithfulness with Algorithmic Independence of Conditionals
Minds and Machines
Project dynamics and emergent complexity
Computational & Mathematical Organization Theory
Comprehensible classification models: a position paper
ACM SIGKDD Explorations Newsletter
A tour of machine learning: An AI perspective
AI Communications - ECAI 2012 Turing and Anniversary Track
Inferring ECA-based rules for ambient intelligence using evolutionary feature extraction
Journal of Ambient Intelligence and Smart Environments
Key roles of closed sets and minimal generators in concise representations of frequent patterns
Intelligent Data Analysis
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