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SSPR
2010
Springer
13 years 3 months ago
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models
Many approaches to learning classifiers for structured objects (e.g., shapes) use generative models in a Bayesian framework. However, state-of-the-art classifiers for vectorial d...
André F. T. Martins, Manuele Bicego, Vittor...
ML
2007
ACM
13 years 4 months ago
Learning deterministic context free grammars: The Omphalos competition
This paper describes the winning entry to the Omphalos context free grammar learning competition. Our approach integrates an information theoretic constituent likelihood measure to...
Alexander Clark
NIPS
2000
13 years 6 months ago
Temporally Dependent Plasticity: An Information Theoretic Account
The paradigm of Hebbian learning has recently received a novel interpretation with the discovery of synaptic plasticity that depends on the relative timing of pre and post synapti...
Gal Chechik, Naftali Tishby
EUSFLAT
2003
115views Fuzzy Logic» more  EUSFLAT 2003»
13 years 6 months ago
A hierarchical fuzzy rule-based learning system based on an information theoretic
This paper proposes a new novel method for the online construction of a Hierarchical Fuzzy Rule Based System (FRBS) to accurately model a function while retaining a level of human...
Antony Waldock, Brian Carse, Chris Melhuish