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CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 4 months ago
A Spectral Algorithm for Learning Hidden Markov Models
Hidden Markov Models (HMMs) are one of the most fundamental and widely used statistical tools for modeling discrete time series. In general, learning HMMs from data is computation...
Daniel Hsu, Sham M. Kakade, Tong Zhang
JPDC
2006
106views more  JPDC 2006»
15 years 4 months ago
Adaptive algorithms for the dynamic distribution and parallel execution of agent-based models
We propose a framework for defining agent-based models (ABMs) and two algorithms for the automatic parallelization of agent-based models, a general version P-ABMG for all ABMs def...
Matthias Scheutz, Paul W. Schermerhorn
EOR
2007
110views more  EOR 2007»
15 years 4 months ago
A hierarchical ant based clustering algorithm and its use in three real-world applications
In this paper is presented a new model for data clustering, which is inspired from the selfassembly behavior of real ants. Real ants can build complex structures by connecting the...
Hanene Azzag, Gilles Venturini, Antoine Oliver, Ch...
ISCI
2007
138views more  ISCI 2007»
15 years 4 months ago
A fast algorithm for one-unit ICA-R
Independent component analysis (ICA) aims to recover a set of unknown mutually independent source signals from their observed mixtures without knowledge of the mixing coefficients...
Qiu-Hua Lin, Yong-Rui Zheng, Fuliang Yin, Hualou L...
TSMC
2008
132views more  TSMC 2008»
15 years 4 months ago
Ensemble Algorithms in Reinforcement Learning
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
Marco A. Wiering, Hado van Hasselt