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98
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ICML
2010
IEEE
15 years 1 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
143
Voted
VSGAMES
2010
139views Game Theory» more  VSGAMES 2010»
14 years 11 months ago
Attentional Cueing in Serious Games
—Games, and serious games especially, revolve around learning new material and integrating this into a mental model. However, playing games can be cognitively demanding and novic...
Erik D. Van der Spek, Herre van Oostendorp, Pieter...
92
Voted
ICML
2008
IEEE
16 years 1 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
101
Voted
ECTEL
2007
Springer
15 years 7 months ago
LOCO-Analyst: A Tool for Raising Teachers' Awareness in Online Learning Environments
The paper presents LOCO-Analyst, an educational tool for providing teachers with feedback on the relevant aspects of the learning process taking place in a web-based learning envir...
Jelena Jovanovic, Dragan Gasevic, Christopher A. B...
106
Voted
CIVR
2006
Springer
201views Image Analysis» more  CIVR 2006»
15 years 4 months ago
Efficient Margin-Based Rank Learning Algorithms for Information Retrieval
Learning a good ranking function plays a key role for many applications including the task of (multimedia) information retrieval. While there are a few rank learning methods availa...
Rong Yan, Alexander G. Hauptmann