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ICML
2009
IEEE
14 years 4 months ago
Grammatical inference as a principal component analysis problem
One of the main problems in probabilistic grammatical inference consists in inferring a stochastic language, i.e. a probability distribution, in some class of probabilistic models...
Raphaël Bailly, François Denis, Liva R...
ICMCS
2006
IEEE
127views Multimedia» more  ICMCS 2006»
14 years 3 months ago
Wavelet-Fuzzy-Stochastic Kalman Filtering for Image Compression
This paper presents a novel fuzzy stochastic Kalman filter for compression of digital images. In particular, it is shown that the state evolution of the synthesis coefficients of ...
Nastooh Avessta
CP
2004
Springer
14 years 3 months ago
Heuristic Selection for Stochastic Search Optimization: Modeling Solution Quality by Extreme Value Theory
The success of stochastic algorithms is often due to their ability to effectively amplify the performance of search heuristics. This is certainly the case with stochastic sampling ...
Vincent A. Cicirello, Stephen F. Smith
ICML
2007
IEEE
14 years 10 months ago
Map building without localization by dimensionality reduction techniques
This paper proposes a new map building framework for mobile robot named Localization-Free Mapping by Dimensionality Reduction (LFMDR). In this framework, the robot map building is...
Takehisa Yairi
DAGSTUHL
2006
13 years 11 months ago
Recent Results in Universal and Non-Universal Induction
We present and relate recent results in prediction based on countable classes of either probability (semi-)distributions or base predictors. Learning by Bayes, MDL, and stochastic ...
Jan Poland