1014 search results - page 141 / 203 » A Spectral Algorithm for Learning Hidden Markov Models |
TNN
2008
13 years 7 months ago
2008
In this paper, an optimized approximation algorithm (OAA) is proposed to address the overfitting problem in function approximation using neural networks (NNs). The optimized approx...
IJCAI
2003
13 years 9 months ago
2003
We present a new algorithm, GM-Sarsa(0), for finding approximate solutions to multiple-goal reinforcement learning problems that are modeled as composite Markov decision processe...
JCDL
2006
ACM
14 years 1 months ago
2006
ACM
In this paper we present a method of parsing unstructured textual records briefly describing a person and their direct relatives, which we use in the construction of a browsing t...
ATAL
2005
Springer
14 years 1 months ago
2005
Springer
Mediation is the process of decomposing a task into subtasks, finding agents suitable for these subtasks and negotiating with agents to obtain commitments to execute these subtas...
BMCBI
2002
13 years 7 months ago
2002
Background: Covariance models (CMs) are probabilistic models of RNA secondary structure, analogous to profile hidden Markov models of linear sequence. The dynamic programming algo...