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JMLR
2010
165views more  JMLR 2010»
13 years 4 months ago
Learning with Blocks: Composite Likelihood and Contrastive Divergence
Composite likelihood methods provide a wide spectrum of computationally efficient techniques for statistical tasks such as parameter estimation and model selection. In this paper,...
Arthur Asuncion, Qiang Liu, Alexander T. Ihler, Pa...
ICML
2006
IEEE
14 years 10 months ago
Maximum margin planning
Mobile robots often rely upon systems that render sensor data and perceptual features into costs that can be used in a planner. The behavior that a designer wishes the planner to ...
Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinke...
ICML
2005
IEEE
14 years 10 months ago
Learning hierarchical multi-category text classification models
We present a kernel-based algorithm for hierarchical text classification where the documents are allowed to belong to more than one category at a time. The classification model is...
Craig Saunders, John Shawe-Taylor, Juho Rousu, S&a...
MC
2008
146views Computer Science» more  MC 2008»
13 years 10 months ago
Paper-Centric Interaction Concepts for Collaborative Learning
Field studies show that in many learning settings paper has intrinsic advantages over electronic documents. In this paper we present concepts for the collaborative annotation and ...
Jürgen Steimle, Oliver Brdiczka
NECO
2008
112views more  NECO 2008»
13 years 9 months ago
Second-Order SMO Improves SVM Online and Active Learning
Iterative learning algorithms that approximate the solution of support vector machines (SVMs) have two potential advantages. First, they allow for online and active learning. Seco...
Tobias Glasmachers, Christian Igel