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» Generalizing the notion of support
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185
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AAAI
1997
15 years 8 months ago
Model Minimization in Markov Decision Processes
Many stochastic planning problems can be represented using Markov Decision Processes (MDPs). A difficulty with using these MDP representations is that the common algorithms for so...
Thomas Dean, Robert Givan
183
Voted
NIPS
1996
15 years 8 months ago
Improving the Accuracy and Speed of Support Vector Machines
Support Vector Learning Machines (SVM) are nding application in pattern recognition, regression estimation, and operator inversion for ill-posed problems. Against this very genera...
Christopher J. C. Burges, Bernhard Schölkopf
SCL
2008
95views more  SCL 2008»
15 years 7 months ago
Regular implementation in the space of compactly supported functions
This article extends results on regular implementablity in [3] and [8] to the case when the signal space is not an injective cogenerator, for instance, the space D of compactly su...
D. Napp Avelli, Shiva Shankar, Harry L. Trentelman
ML
2002
ACM
121views Machine Learning» more  ML 2002»
15 years 6 months ago
Choosing Multiple Parameters for Support Vector Machines
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
Olivier Chapelle, Vladimir Vapnik, Olivier Bousque...
185
Voted
WICSA
2004
15 years 8 months ago
Mining Patterns to Support Software Architecture Evaluation
In this paper, we present an approach to improve the software architecture evaluation process by systematically extracting and appropriately documenting architecturally significan...
Liming Zhu, Muhammad Ali Babar, D. Ross Jeffery