1062 search results - page 78 / 213 » Sublinear Optimization for Machine Learning |
ICML
2001
IEEE
16 years 3 months ago
2001
IEEE
This is a survey of some theoretical results on boosting obtained from an analogous treatment of some regression and classi cation boosting algorithms. Some related papers include...
102
Voted
ALT
2008
Springer
15 years 11 months ago
2008
Springer
Abstract. We consider an upper confidence bound algorithm for Markov decision processes (MDPs) with deterministic transitions. For this algorithm we derive upper bounds on the onl...
127
Voted
MLDM
2007
Springer
15 years 8 months ago
2007
Springer
In this paper we propose a new criterion, based on Minimum Description Length (MDL), to estimate an optimal number of clusters. This criterion, called Kernel MDL (KMDL), is particu...
95
Voted
ICALT
2007
IEEE
15 years 8 months ago
2007
IEEE
This paper1 presents a Web adaptation and personalization architecture that uses cognitive aspects as its core filtering element. The innovation of the proposed architecture focus...
102
Voted
CEC
2005
IEEE
15 years 7 months ago
2005
IEEE
Co-evolutionary algorithms (CEAs) have been applied to optimization and machine learning problems with often mediocre results. One of the causes for the unfulfilled expectations i...