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ILP
2005
Springer
14 years 1 months ago
Guiding Inference Through Relational Reinforcement Learning
Abstract. Reasoning plays a central role in intelligent systems that operate in complex situations that involve time constraints. In this paper, we present the Adaptive Logic Inter...
Nima Asgharbeygi, Negin Nejati, Pat Langley, Sachi...
PRIS
2004
13 years 9 months ago
Neural Network Learning: Testing Bounds on Sample Complexity
Several authors have theoretically determined distribution-free bounds on sample complexity. Formulas based on several learning paradigms have been presented. However, little is kn...
Joaquim Marques de Sá, Fernando Sereno, Lu&...
COST
2008
Springer
136views Multimedia» more  COST 2008»
13 years 10 months ago
Articulatory Synthesis of Speech and Singing: State of the Art and Suggestions for Future Research
Articulatory synthesis of speech and singing aims for modeling the production process of speech and singing as human-like or natural as possible. The state of the art is described ...
Bernd J. Kröger, Peter Birkholz
GECCO
2007
Springer
210views Optimization» more  GECCO 2007»
14 years 2 months ago
Mining breast cancer data with XCS
In this paper, we describe the use of a modern learning classifier system to a data mining task. In particular, in collaboration with a medical specialist, we apply XCS to a prima...
Faten Kharbat, Larry Bull, Mohammed Odeh
PAMI
2012
11 years 10 months ago
UBoost: Boosting with the Universum
—It has been shown that the Universum data, which do not belong to either class of the classification problem of interest, may contain useful prior domain knowledge for training...
Chunhua Shen, Peng Wang, Fumin Shen, Hanzi Wang