1164 search results - page 140 / 233 » A Model Selection Approach for Local Learning |
109
click to vote
ICML
1995
IEEE
15 years 11 months ago
1995
IEEE
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
108
click to vote
CORR
2012
Springer
13 years 5 months ago
2012
Springer
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Abstract We propose in this paper a novel approach to the classification of discrete sequences. This approach builds a model fitting some dynamical features deduced from the learni...
KDD
2006
ACM
15 years 10 months ago
2006
ACM
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
106
click to vote
ECML
2007
Springer
14 years 12 months ago
2007
Springer
Many problems in areas such as Natural Language Processing, Information Retrieval, or Bioinformatic involve the generic task of sequence labeling. In many cases, the aim is to assi...