Viewing all models as “probabilistic”
COLT '99 Proceedings of the twelfth annual conference on Computational learning theory
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Automated Software Engineering
Journal of Logic, Language and Information
Model Selection for Small Sample Regression
Machine Learning
Software as Learning: Quality Factors and Life-Cycle Revised
FASE '00 Proceedings of the Third Internationsl Conference on Fundamental Approaches to Software Engineering: Held as Part of the European Joint Conferences on the Theory and Practice of Software, ETAPS 2000
Generalized Shannon Code Minimizes the Maximal Redundancy
LATIN '02 Proceedings of the 5th Latin American Symposium on Theoretical Informatics
Maximum Likelihood Estimation of the Template of a Rigid Moving Object
EMMCVPR '01 Proceedings of the Third International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition
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
Towards an Algorithmic Statistics
ALT '00 Proceedings of the 11th International Conference on Algorithmic Learning Theory
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
ISAAC '02 Proceedings of the 13th International Symposium on Algorithms and Computation
Signal Processing - Special issue: Genomic signal processing
Predicting a binary sequence almost as well as the optimal biased coin
Information and Computation
Precise Average Redundancy Of An Idealized Arithmetic Coding
DCC '02 Proceedings of the Data Compression Conference
Low Delay Perceptually Lossless Coding of Audio Signals
DCC '01 Proceedings of the Data Compression Conference
A Model Selection Criterion for Classification: Application to HMM Topology Optimization
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Golden Path Analyzer: using divide-and-conquer to cluster Web clickstreams
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Finding short DNA motifs using permuted markov models
RECOMB '04 Proceedings of the eighth annual international conference on Resaerch in computational molecular biology
On some properties of the NML estimator for Bernoulli strings
Information Processing Letters
A Compression Approach to Support Vector Model Selection
The Journal of Machine Learning Research
UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Improved system for object detection and star/galaxy classification via local subspace analysis
Neural Networks - 2003 Special issue: Neural network analysis of complex scientific data: Astronomy and geosciences
Pattern Recognition Letters
A comparative investigation on subspace dimension determination
Neural Networks - 2004 Special issue: New developments in self-organizing systems
MDL convergence speed for Bernoulli sequences
Statistics and Computing
A method for parameter calibration and relevance estimation in evolutionary algorithms
Proceedings of the 8th annual conference on Genetic and evolutionary computation
Pre-registration of arbitrarily oriented 3D surfaces using a genetic algorithm
Pattern Recognition Letters - Special issue: Evolutionary computer vision and image understanding
Compact representations as a search strategy: compression EDAs
Theoretical Computer Science - Foundations of genetic algorithms
Efficient unsupervised recursive word segmentation using minimum description length
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
Spam Filtering Using Statistical Data Compression Models
The Journal of Machine Learning Research
A linear-time algorithm for computing the multinomial stochastic complexity
Information Processing Letters
On the use of MDL principle in gene expression prediction
EURASIP Journal on Applied Signal Processing
Application of the evidence procedure to the estimation of wireless channels
EURASIP Journal on Applied Signal Processing
IEEE Transactions on Pattern Analysis and Machine Intelligence
SASH: a self-adaptive histogram set for dynamically changing workloads
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Recommending questions using the mdl-based tree cut model
Proceedings of the 17th international conference on World Wide Web
NML computation algorithms for tree-structured multinomial Bayesian networks
EURASIP Journal on Bioinformatics and Systems Biology
Evolving neural networks for fractured domains
Proceedings of the 10th annual conference on Genetic and evolutionary computation
Optimal segmentation using tree models
Knowledge and Information Systems
Improved spatially adaptive MDL denoising of images using normalized maximum likelihood density
Image and Vision Computing
Consistency of discrete Bayesian learning
Theoretical Computer Science
An Evolutionary Multi-objective Neural Network Optimizer with Bias-Based Pruning Heuristic
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
CiE '07 Proceedings of the 3rd conference on Computability in Europe: Computation and Logic in the Real World
Kernel MDL to Determine the Number of Clusters
MLDM '07 Proceedings of the 5th international conference on Machine Learning and Data Mining in Pattern Recognition
A Cost-Sensitive Approach to Feature Selection in Micro-Array Data Classification
WILF '07 Proceedings of the 7th international workshop on Fuzzy Logic and Applications: Applications of Fuzzy Sets Theory
Superresolution algorithms for spatial extended scattering centers
Digital Signal Processing
Decoding Color Structured Light Patterns with a Region Adjacency Graph
Proceedings of the 31st DAGM Symposium on Pattern Recognition
A fast normalized maximum likelihood algorithm for multinomial data
IJCAI'05 Proceedings of the 19th international joint conference on Artificial intelligence
Digital ecosystems: self-organisation of evolving agent populations
Proceedings of the International Conference on Management of Emergent Digital EcoSystems
MIMO-AR system identification and blind source separation for GMM-distributed sources
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Nonlinear system identification via Laguerre network based fuzzy systems
Fuzzy Sets and Systems
Dependency structure matrix, genetic algorithms, and effective recombination
Evolutionary Computation
Coding on countably infinite alphabets
IEEE Transactions on Information Theory
Approximation of the two-part MDL code
IEEE Transactions on Information Theory
Joint universal lossy coding and identification of stationary mixing sources with general alphabets
IEEE Transactions on Information Theory
Minimized models for unsupervised part-of-speech tagging
ACL '09 Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP: Volume 1 - Volume 1
ICIC '07 Proceedings of the 3rd International Conference on Intelligent Computing: Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence
Minimum description length and clustering with exemplars
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Sequential probability assignment via online convex programming using exponential families
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Wavelet denoising with evolutionary algorithms
Digital Signal Processing
Artificial and biological color band design as spectral compression
Image and Vision Computing
Model selection by sequentially normalized least squares
Journal of Multivariate Analysis
Noisy data and impulse response estimation
IEEE Transactions on Signal Processing
On the consistency of discrete Bayesian learning
STACS'07 Proceedings of the 24th annual conference on Theoretical aspects of computer science
Automatic feature point correspondences and shape analysis with missing data and outliers using MDL
SCIA'07 Proceedings of the 15th Scandinavian conference on Image analysis
Blind MIMO-AR system identification and source separation with finite-alphabet
IEEE Transactions on Signal Processing
Filtering spams using the minimum description length principle
Proceedings of the 2010 ACM Symposium on Applied Computing
Development of enhanced data mining system to approximate empirical formula for ship design
KSEM'07 Proceedings of the 2nd international conference on Knowledge science, engineering and management
ICA'07 Proceedings of the 7th international conference on Independent component analysis and signal separation
Computable Bayesian compression for uniformly discretizable statistical models
ALT'09 Proceedings of the 20th international conference on Algorithmic learning theory
Block-based image compression with parameter-assistant inpainting
IEEE Transactions on Image Processing
Minimized models and grammar-informed initialization for supertagging with highly ambiguous lexicons
ACL '10 Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics
Efficient optimization of an MDL-inspired objective function for unsupervised part-of-speech tagging
ACLShort '10 Proceedings of the ACL 2010 Conference Short Papers
A statistical pixel intensity model for segmentation of confocal laser scanning microscopy images
IEEE Transactions on Image Processing
Algorithmic randomness and monotone complexity on product space
Information and Computation
Information-theoretic model selection for independent components
LVA/ICA'10 Proceedings of the 9th international conference on Latent variable analysis and signal separation
Semi-supervised WSD in selectional preferences with semantic redundancy
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Automatically finding clusters in normalized cuts
Pattern Recognition
Minimum Description Length Penalization for Group and Multi-Task Sparse Learning
The Journal of Machine Learning Research
Sparse regularization for semi-supervised classification
Pattern Recognition
Design of negotiation agents based on behavior models
WISE'10 Proceedings of the 11th international conference on Web information systems engineering
Empirical Bayes predictive densities for high-dimensional normal models
Journal of Multivariate Analysis
On supervised selection of Bayesian networks
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Convex and Network Flow Optimization for Structured Sparsity
The Journal of Machine Learning Research
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II
Training neural networks using multiobjective particle swarm optimization
ICNC'06 Proceedings of the Second international conference on Advances in Natural Computation - Volume Part I
Neighboring feature clustering
SETN'06 Proceedings of the 4th Helenic conference on Advances in Artificial Intelligence
IEA/AIE'06 Proceedings of the 19th international conference on Advances in Applied Artificial Intelligence: industrial, Engineering and Other Applications of Applied Intelligent Systems
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
ISNN'06 Proceedings of the Third international conference on Advances in Neural Networks - Volume Part I
Data analysis and utilization method based on genetic programming in ship design
ICCSA'06 Proceedings of the 2006 international conference on Computational Science and Its Applications - Volume Part II
An MDL approach to efficiently discover communities in bipartite network
DASFAA'10 Proceedings of the 15th international conference on Database Systems for Advanced Applications - Volume Part I
Asymptotic log-loss of prequential maximum likelihood codes
COLT'05 Proceedings of the 18th annual conference on Learning Theory
Facing the spammers: A very effective approach to avoid junk e-mails
Expert Systems with Applications: An International Journal
Information Processing and Management: an International Journal
Compact genetic codes as a search strategy of evolutionary processes
FOGA'05 Proceedings of the 8th international conference on Foundations of Genetic Algorithms
Learning bayesian classifiers from gene-expression microarray data
WILF'05 Proceedings of the 6th international conference on Fuzzy Logic and Applications
Tracking low-precision clocks with time-varying drifts using kalman filtering
IEEE/ACM Transactions on Networking (TON)
A test problem with adjustable degrees of overlap and conflict among subproblems
Proceedings of the 14th annual conference on Genetic and evolutionary computation
Measuring non-gaussianity by phi-transformed and fuzzy histograms
Advances in Artificial Neural Systems - Special issue on Advances in Unsupervised Learning Techniques Applied to Biosciences and Medicine
Localized discriminative scale invariant feature transform based facial expression recognition
Computers and Electrical Engineering
Robust detection of comment spam using entropy rate
Proceedings of the 5th ACM workshop on Security and artificial intelligence
Smaller alignment models for better translations: unsupervised word alignment with the l0-norm
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Studying User Footprints in Different Online Social Networks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Proceedings of the 15th annual conference on Genetic and evolutionary computation
Bootstrap learning via modular concept discovery
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Covariance Matrix Estimation with Multi-Regularization Parameters based on MDL Principle
Neural Processing Letters
Supervised feature selection in graphs with path coding penalties and network flows
The Journal of Machine Learning Research
Efficient location aware intrusion detection to protect mobile devices
Personal and Ubiquitous Computing
| Hi-index | 755.03 |
We review the principles of minimum description length and stochastic complexity as used in data compression and statistical modeling. Stochastic complexity is formulated as the solution to optimum universal coding problems extending Shannon's basic source coding theorem. The normalized maximized likelihood, mixture, and predictive codings are each shown to achieve the stochastic complexity to within asymptotically vanishing terms. We assess the performance of the minimum description length criterion both from the vantage point of quality of data compression and accuracy of statistical inference. Context tree modeling, density estimation, and model selection in Gaussian linear regression serve as examples