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ESANN
2000
15 years 7 months ago
Algorithmic approaches to training Support Vector Machines: a survey
: Support Vector Machines (SVMs) have become an increasingly popular tool for machine learning tasks involving classi cation, regression or novelty detection. They exhibit good gen...
Colin Campbell
161
Voted
JMLR
2010
115views more  JMLR 2010»
15 years 1 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
ECML
2005
Springer
15 years 12 months ago
A SAT-Based Version Space Algorithm for Acquiring Constraint Satisfaction Problems
Constraint programming is rapidly becoming the technology of choice for modelling and solving complex combinatorial problems. However, users of this technology need significant ex...
Christian Bessière, Remi Coletta, Fré...
EMNLP
2009
15 years 4 months ago
Synchronous Tree Adjoining Machine Translation
Tree Adjoining Grammars have well-known advantages, but are typically considered too difficult for practical systems. We demonstrate that, when done right, adjoining improves tran...
Steve DeNeefe, Kevin Knight
ICML
2008
IEEE
16 years 7 months ago
Knows what it knows: a framework for self-aware learning
We introduce a learning framework that combines elements of the well-known PAC and mistake-bound models. The KWIK (knows what it knows) framework was designed particularly for its...
Lihong Li, Michael L. Littman, Thomas J. Walsh