Advances in Minimum Description Length: Theory and Applications (Neural Information Processing)

Learning action models from plan examples using weighted MAX-SAT

Artificial Intelligence

Genetic process mining: an experimental evaluation

Data Mining and Knowledge Discovery

Diagnosis of breast cancer using Bayesian networks: A case study

Computers in Biology and Medicine

The Simplicity and Power model for inductive inference

Artificial Intelligence Review

MicroRNA target detection and analysis for genes related to breast cancer using MDLcompress

EURASIP Journal on Bioinformatics and Systems Biology

Nondeterministic Discretization of Weights Improves Accuracy of Neural Networks

ECML '07 Proceedings of the 18th European conference on Machine Learning

FOGGER: an algorithm for graph generator discovery

Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology

Shape and texture clustering: Best estimate for the clusters number

Image and Vision Computing

Approximation Methods for Efficient Learning of Bayesian Networks

Proceedings of the 2008 conference on Approximation Methods for Efficient Learning of Bayesian Networks

Trajectory Compression under Network Constraints

SSTD '09 Proceedings of the 11th International Symposium on Advances in Spatial and Temporal Databases

Evolutionary multi-feature construction for data reduction: A case study

Applied Soft Computing

Minimum description length principle: generators are preferable to closed patterns

AAAI'06 Proceedings of the 21st national conference on Artificial intelligence - Volume 1

Analyzing a class of pseudo-random bit generator through inductive machine learning paradigm

Intelligent Data Analysis

Linear Time Model Selection for Mixture of Heterogeneous Components

ACML '09 Proceedings of the 1st Asian Conference on Machine Learning: Advances in Machine Learning

Using a Wiener-Type Recurrent Neural Network with the Minimum Description Length Principle for Dynamic System Identification

ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence

Fast NML computation for Naive Bayes models

DS'07 Proceedings of the 10th international conference on Discovery science

A minimal description length scheme for polynomial regression

PAKDD'08 Proceedings of the 12th Pacific-Asia conference on Advances in knowledge discovery and data mining

An MDL-based Hammerstein recurrent neural network for control applications

Neurocomputing

Gaussian clusters and noise: an approach based on the minimum description length principle

DS'10 Proceedings of the 13th international conference on Discovery science

An objective evaluation method for image restoration

Journal of Electrical and Computer Engineering

How good are the bayesian information criterion and the minimum description length principle for model selection? a bayesian network analysis

MICAI'06 Proceedings of the 5th Mexican international conference on Artificial Intelligence

Invariance of function complexity under primitive recursive functions

EuroGP'06 Proceedings of the 9th European conference on Genetic Programming

Evolutionary computation and rough set-based hybrid approach to rule generation

ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part III

A consensus tree approach for reconstructing human evolutionary history and detecting population substructure

ISBRA'10 Proceedings of the 6th international conference on Bioinformatics Research and Applications

Automatic lexico-semantic frames acquisition from syntactic parsed tree by using clustering and combining techniques

ISPA'07 Proceedings of the 2007 international conference on Frontiers of High Performance Computing and Networking

Selecting β-divergence for nonnegative matrix factorization by score matching

ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part II

Information theoretic prototype selection for unattributed graphs

SSPR'12/SPR'12 Proceedings of the 2012 Joint IAPR international conference on Structural, Syntactic, and Statistical Pattern Recognition

Coalescent-Based Method for Learning Parameters of Admixture Events from Large-Scale Genetic Variation Data

IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)

Efficient location aware intrusion detection to protect mobile devices

Personal and Ubiquitous Computing