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GECCO
2008
Springer
123views Optimization» more  GECCO 2008»
14 years 11 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...
ICML
2010
IEEE
14 years 11 months ago
Hilbert Space Embeddings of Hidden Markov Models
Hidden Markov Models (HMMs) are important tools for modeling sequence data. However, they are restricted to discrete latent states, and are largely restricted to Gaussian and disc...
Le Song, Sajid M. Siddiqi, Geoffrey J. Gordon, Ale...
AI
2008
Springer
14 years 10 months ago
An experimental evaluation of simplicity in rule learning
While recent research on rule learning has focussed largely on finding highly accurate hypotheses, we evaluate the degree to which these hypotheses are also simple, that is small....
Ulrich Rückert, Luc De Raedt
CORR
2010
Springer
145views Education» more  CORR 2010»
14 years 10 months ago
Feature Level Clustering of Large Biometric Database
This paper proposes an efficient technique for partitioning large biometric database during identification. In this technique feature vector which comprises of global and local de...
Hunny Mehrotra, Dakshina Ranjan Kisku, V. Bhawani ...
CPHYSICS
2008
106views more  CPHYSICS 2008»
14 years 10 months ago
A space-time-ensemble parallel nudged elastic band algorithm for molecular kinetics simulation
A scalable parallel algorithm has been designed to study long-time dynamics of many-atom systems based on the nudged elastic band method, which performs mutually constrained molec...
Aiichiro Nakano