1822 search results - page 111 / 365 » Risk-Sensitive Online Learning |
115
Voted
CORR
2006
Springer
15 years 3 months ago
2006
Springer
This paper presents the design of an associative memory with feedback that is capable of on-line temporal sequence learning. A framework for on-line sequence learning has been prop...
114
Voted
ICML
2003
IEEE
16 years 4 months ago
2003
IEEE
Relativized options combine model minimization methods and a hierarchical reinforcement learning framework to derive compact reduced representations of a related family of tasks. ...
130
Voted
SIAMCOMP
2008
15 years 3 months ago
2008
Abstract. The Perceptron algorithm, despite its simplicity, often performs well in online classification tasks. The Perceptron becomes especially effective when it is used in conju...
163
Voted
GREC
2003
Springer
15 years 9 months ago
2003
Springer
This paper presents a method of online sketchy shape recognition that can adapt to different user sketching styles. The adaptation principle is based on incremental active learning...
133
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We study metric learning as a problem of information retrieval. We present a general metric learning algorithm, based on the structural SVM framework, to learn a metric such that ...