Learning theory and language modeling
Exploring artificial intelligence in the new millennium
Concentration inequalities for the missing mass and for histogram rule error
The Journal of Machine Learning Research
Computable Shell Decomposition Bounds
The Journal of Machine Learning Research
Probabilistic Finite-State Machines-Part II
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maximum Likelihood Set for Estimating a Probability Mass Function
Neural Computation
Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition
The Journal of Machine Learning Research
Ranking Categorical Features Using Generalization Properties
The Journal of Machine Learning Research
Position Models and Language Modeling
SSPR & SPR '08 Proceedings of the 2008 Joint IAPR International Workshop on Structural, Syntactic, and Statistical Pattern Recognition
The maximum likelihood probability of unique-singleton, ternary, and length-7 patterns
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 2
Prediction by categorical features: generalization properties and application to feature ranking
COLT'07 Proceedings of the 20th annual conference on Learning theory
Learnability, Stability and Uniform Convergence
The Journal of Machine Learning Research
Proceedings of the forty-third annual ACM symposium on Theory of computing
Encoding through patterns: Regression tree-based neuronal population models
Neural Computation
Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality
The Journal of Machine Learning Research
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