1376 search results - page 58 / 276 » The Localization Hypothesis and Machines |
GECCO
2006
Springer
14 years 1 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...
AVBPA
2003
Springer
14 years 1 months ago
2003
Springer
There are two main approaches to the problem of gender classification, Support Vector Machines (SVMs) and Adaboost learning methods, of which SVMs are better in correct rate but ar...
JAIR
2010
13 years 8 months ago
2010
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
ICCV
2009
IEEE
13 years 7 months ago
2009
IEEE
The varying object appearance and unlabeled data from new frames are always the challenging problem in object tracking. Recently machine learning methods are widely applied to tra...
IFL
2001
Springer
14 years 2 months ago
2001
Springer
Abstract. J. Launchbury gave an operational semantics for lazy evaluation and showed that it is sound and complete w.r.t. a denotational s of the language. P. Sestoft then introduc...