777 search results - page 76 / 156 » Learning dynamic algorithm portfolios |
136
click to vote
JAIR
2002
15 years 2 months ago
2002
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
106
click to vote
IDA
2007
Springer
15 years 9 months ago
2007
Springer
We present a new machine learning approach to the inverse parametric sequence alignment problem: given as training examples a set of correct pairwise global alignments, find the p...
131
click to vote
UAI
2004
15 years 4 months ago
2004
We propose dynamical systems trees (DSTs) as a flexible model for describing multiple processes that interact via a hierarchy of aggregating processes. DSTs extend nonlinear dynam...
147
click to vote
NN
2002
Springer
15 years 2 months ago
2002
Springer
This paper presents a biologically-inspired, hardware-realisable spiking neuron model, which we call the Temporal Noisy-Leaky Integrator (TNLI). The dynamic applications of the mo...
125
click to vote
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...