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JMLR
2012
13 years 6 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
JMLR
2012
13 years 6 months ago
Multi Kernel Learning with Online-Batch Optimization
In recent years there has been a lot of interest in designing principled classification algorithms over multiple cues, based on the intuitive notion that using more features shou...
Francesco Orabona, Jie Luo, Barbara Caputo
139
Voted
FSMNLP
2009
Springer
15 years 1 months ago
Zulu: An Interactive Learning Competition
Abstract. Active language learning is an interesting task for which theoretical results are known and several applications exist. In order to better understand what the better stra...
David Combe, Colin de la Higuera, Jean-Christophe ...
JMLR
2012
13 years 6 months ago
Perturbation based Large Margin Approach for Ranking
We consider the task of devising large-margin based surrogate losses for the learning to rank problem. In this learning to rank setting, the traditional hinge loss for structured ...
Eunho Yang, Ambuj Tewari, Pradeep D. Ravikumar
JCP
2007
135views more  JCP 2007»
15 years 3 months ago
A Design Requirements Framework for Mobile Learning Environments
—This paper proposes a conceptual framework for mobile learning applications that provides systematic support for mobile learning experience design. It is based on a combination ...
David Parsons, Hokyoung Ryu, Mark Cranshaw