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JMLR
2012
13 years 2 months ago
Marginal Regression For Multitask Learning
Variable selection is an important and practical problem that arises in analysis of many high-dimensional datasets. Convex optimization procedures that arise from relaxing the NP-...
Mladen Kolar, Han Liu
CVPR
2012
IEEE
13 years 2 months ago
Learning latent temporal structure for complex event detection
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
Kevin Tang, Fei-Fei Li, Daphne Koller
AIED
2009
Springer
14 years 10 months ago
Investigating the Effects of Social Goals in a Negotiation Game with Virtual Humans
Educational games may be particularly suited to teaching social learning skills with virtual humans. We investigate the importance of social goals and engaging social interactions ...
Amy Ogan, Vincent Aleven, Christopher Jones
LWA
2007
15 years 1 months ago
Meta-Learning Rule Learning Heuristics
The goal of this paper is to investigate to what extent a rule learning heuristic can be learned from experience. Our basic approach is to learn a large number of rules and record ...
Frederik Janssen, Johannes Fürnkranz
CORR
2008
Springer
72views Education» more  CORR 2008»
15 years 16 days ago
Statistical Learning of Arbitrary Computable Classifiers
Statistical learning theory chiefly studies restricted hypothesis classes, particularly those with finite Vapnik-Chervonenkis (VC) dimension. The fundamental quantity of interest i...
David Soloveichik