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» A statistical approach to rule learning
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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
15 years 7 months ago
Hierarchical evolution of linear regressors
We propose an algorithm for function approximation that evolves a set of hierarchical piece-wise linear regressors. The algorithm, named HIRE-Lin, follows the iterative rule learn...
Francesc Teixidó-Navarro, Albert Orriols-Pu...
KDD
2006
ACM
113views Data Mining» more  KDD 2006»
16 years 6 months ago
A new multi-view regression approach with an application to customer wallet estimation
Motivated by the problem of customer wallet estimation, we propose a new setting for multi-view regression, where we learn a completely unobserved target (in our case, customer wa...
Srujana Merugu, Saharon Rosset, Claudia Perlich
ISMIR
2005
Springer
205views Music» more  ISMIR 2005»
15 years 12 months ago
Learning Harmonic Relationships in Digital Audio with Dirichlet-Based Hidden Markov Models
Harmonic analysis is a standard musicological tool for understanding many pieces of Western classical music and making comparisons among them. Traditionally, this analysis is done...
J. Ashley Burgoyne, Lawrence K. Saul
ACL
1998
15 years 7 months ago
A Connectionist Architecture for Learning to Parse
We present a connectionist architecture and demonstrate that it can learn syntactic parsing from a corpus of parsed text. The architecture can represent syntactic constituents, an...
James Henderson, Peter Lane
TROB
2008
210views more  TROB 2008»
15 years 6 months ago
Dynamical System Modulation for Robot Learning via Kinesthetic Demonstrations
We present a system for robust robot skill acquisition from kinesthetic demonstrations. This system allows a robot to learn a simple goal-directed gesture, and correctly reproduce...
Micha Hersch, Florent Guenter, Sylvain Calinon, Au...