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GECCO
2008
Springer
170views Optimization» more  GECCO 2008»
15 years 5 months ago
Evolving prediction weights using evolution strategy
The evolution strategy is one of the strongest evolutionary algorithms for optimizing real-value vectors. In this paper, we study how to use it for the evolution of prediction wei...
Trung Hau Tran, Cédric Sanza, Yves Duthen
131
Voted
ICML
2010
IEEE
15 years 5 months ago
Feature Selection as a One-Player Game
This paper formalizes Feature Selection as a Reinforcement Learning problem, leading to a provably optimal though intractable selection policy. As a second contribution, this pape...
Romaric Gaudel, Michèle Sebag
137
Voted
CLEIEJ
2008
103views more  CLEIEJ 2008»
15 years 4 months ago
An Ontology-based Framework and its Application to Effective Collaboration
In the past few years Artificial Intelligence has been gradually introduced to enhance Education through technologies. However, usual approaches provide systems with a kind of exp...
Seiji Isotani, Riichiro Mizoguchi
117
Voted
IJON
2006
104views more  IJON 2006»
15 years 4 months ago
Kernel methods and the exponential family
The success of Support Vector Machine (SVM) gave rise to the development of a new class of theoretically elegant learning machines which use a central concept of kernels and the a...
Stéphane Canu, Alexander J. Smola
NN
2007
Springer
105views Neural Networks» more  NN 2007»
15 years 3 months ago
Guiding exploration by pre-existing knowledge without modifying reward
Reinforcement learning is based on exploration of the environment and receiving reward that indicates which actions taken by the agent are good and which ones are bad. In many app...
Kary Främling