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JMLR
2010
115views more  JMLR 2010»
13 years 3 months ago
Fast and Scalable Local Kernel Machines
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
Nicola Segata, Enrico Blanzieri
JITE
2006
94views more  JITE 2006»
13 years 8 months ago
On the Design and Development of a UML-Based Visual Environment for Novice Programmers
learning abstract computer concepts. In addition, visualization helps novices construct a mental model of concepts, which is pivotal to further comprehension and understanding. Sec...
Brian D. Moor, Fadi P. Deek
COLT
2000
Springer
14 years 1 months ago
Estimation and Approximation Bounds for Gradient-Based Reinforcement Learning
We model reinforcement learning as the problem of learning to control a Partially Observable Markov Decision Process (  ¢¡¤£¦¥§  ), and focus on gradient ascent approache...
Peter L. Bartlett, Jonathan Baxter
PRICAI
2004
Springer
14 years 2 months ago
A Multi-strategy Approach for Catalog Integration
When we have a large amount of information, we usually use categories with a hierarchy, in which all information is assigned. This paper proposes a new method of integrating two ca...
Ryutaro Ichise, Masahiro Hamasaki, Hideaki Takeda
EACL
2006
ACL Anthology
13 years 10 months ago
Edit Machines for Robust Multimodal Language Processing
Multimodal grammars provide an expressive formalism for multimodal integration and understanding. However, handcrafted multimodal grammars can be brittle with respect to unexpecte...
Srinivas Bangalore, Michael Johnston