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» Using Problems to Learn Service-Oriented Computing
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137
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CIMCA
2008
IEEE
15 years 9 months ago
Tree Exploration for Bayesian RL Exploration
Research in reinforcement learning has produced algorithms for optimal decision making under uncertainty that fall within two main types. The first employs a Bayesian framework, ...
Christos Dimitrakakis
99
Voted
ECIR
2009
Springer
15 years 11 months ago
Multi-facet Rating of Product Reviews
Online product reviews are becoming increasingly available, and are being used more and more frequently by consumers in order to choose among competing products. Tools that rank co...
Stefano Baccianella, Andrea Esuli, Fabrizio Sebast...
116
Voted
ACMDIS
2006
ACM
15 years 8 months ago
What do usability evaluators do in practice?: an explorative study of think-aloud testing
Think-aloud testing is a widely employed usability evaluation method, yet its use in practice is rarely studied. We report an explorative study of 14 think-aloud sessions, the aud...
Mie Nørgaard, Kasper Hornbæk
123
Voted
GECCO
2008
Springer
124views Optimization» more  GECCO 2008»
15 years 3 months ago
Introducing MONEDA: scalable multiobjective optimization with a neural estimation of distribution algorithm
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
Luis Martí, Jesús García, Ant...
199
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PAMI
2012
13 years 5 months ago
A Least-Squares Framework for Component Analysis
— Over the last century, Component Analysis (CA) methods such as Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA), Canonical Correlation Analysis (CCA), Lap...
Fernando De la Torre