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» Learning Models for Object Recognition
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ACMICEC
2006
ACM
157views ECommerce» more  ACMICEC 2006»
15 years 3 months ago
Adaptive mechanism design: a metalearning approach
Auction mechanism design has traditionally been a largely analytic process, relying on assumptions such as fully rational bidders. In practice, however, bidders often exhibit unkn...
David Pardoe, Peter Stone, Maytal Saar-Tsechansky,...
CIMCA
2008
IEEE
14 years 11 months ago
Portlets-Based Portal for an E-learning Grid
This paper describes a portlet-based portal that provides user interfaces for access a Grid-based elearning platform. E-learning platforms that exploit resources and computing pow...
Felicia Ionescu, Cristina Elena Stoica, Mircea Dea...
IJON
2007
99views more  IJON 2007»
14 years 9 months ago
A relative trust-region algorithm for independent component analysis
In this paper we present a method of parameter optimization, relative trust-region learning, where the trust-region method and the relative optimization [21] are jointly exploited...
Heeyoul Choi, Seungjin Choi
AI
2004
Springer
14 years 9 months ago
A selective sampling approach to active feature selection
Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Huan Liu, Hiroshi Motoda, Lei Yu
ICDM
2008
IEEE
106views Data Mining» more  ICDM 2008»
15 years 4 months ago
Boosting Relational Sequence Alignments
The task of aligning sequences arises in many applications. Classical dynamic programming approaches require the explicit state enumeration in the reward model. This is often impr...
Andreas Karwath, Kristian Kersting, Niels Landwehr