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NECO
2008
108views more  NECO 2008»
13 years 8 months ago
An SMO Algorithm for the Potential Support Vector Machine
We describe a fast Sequential Minimal Optimization (SMO) procedure for solving the dual optimization problem of the recently proposed Potential Support Vector Machine (P-SVM). The...
Tilman Knebel, Sepp Hochreiter, Klaus Obermayer
IPL
1998
89views more  IPL 1998»
13 years 8 months ago
A Limitation of Vector Timestamps for Reconstructing Distributed Computations
Vector timestamps provide a way of recording the causal relationships between events in a distributed computation. We draw attention to a limitation of such timestamps when used t...
Colin J. Fidge
NIPS
2000
13 years 9 months ago
Incremental and Decremental Support Vector Machine Learning
An on-line recursive algorithm for training support vector machines, one vector at a time, is presented. Adiabatic increments retain the KuhnTucker conditions on all previously se...
Gert Cauwenberghs, Tomaso Poggio
ACL
2010
13 years 6 months ago
Contextualizing Semantic Representations Using Syntactically Enriched Vector Models
We present a syntactically enriched vector model that supports the computation of contextualized semantic representations in a quasi compositional fashion. It employs a systematic...
Stefan Thater, Hagen Fürstenau, Manfred Pinka...
NIPS
2007
13 years 10 months ago
A Randomized Algorithm for Large Scale Support Vector Learning
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
Krishnan Kumar, Chiru Bhattacharyya, Ramesh Hariha...