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JMLR
2010
115views more  JMLR 2010»
15 years 2 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
ACL
2011
14 years 11 months ago
Temporal Restricted Boltzmann Machines for Dependency Parsing
We propose a generative model based on Temporal Restricted Boltzmann Machines for transition based dependency parsing. The parse tree is built incrementally using a shiftreduce pa...
Nikhil Garg, James Henderson
ICML
2009
IEEE
16 years 2 months ago
Fast evolutionary maximum margin clustering
The maximum margin clustering approach is a recently proposed extension of the concept of support vector machines to the clustering problem. Briefly stated, it aims at finding a...
Fabian Gieseke, Tapio Pahikkala, Oliver Kramer
ECAI
2008
Springer
15 years 9 months ago
Groovy Neural Networks
Abstract. The drum machine has been an important tool in music production for decades. However, its flawless way of playing drum patterns is often perceived as mechanical and rigid...
Axel Tidemann, Yiannis Demiris
SIMVIS
2004
15 years 8 months ago
A Formal Model of a Framework for Simulation-Based Animation
We present a rigorous formal - but transparent - specification of the semantics of a generic simulation-based 3D animation framework. Our system combines a SystemC simulation kern...
Wolfgang Müller 0003, Volker Paelke