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DATAMINE
1998
145views more  DATAMINE 1998»
14 years 9 months ago
A Tutorial on Support Vector Machines for Pattern Recognition
The tutorial starts with an overview of the concepts of VC dimension and structural risk minimization. We then describe linear Support Vector Machines (SVMs) for separable and non-...
Christopher J. C. Burges
JMLR
2002
106views more  JMLR 2002»
14 years 9 months ago
Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
Prasanth B. Nair, Arindam Choudhury 0002, Andy J. ...
JSW
2010
83views more  JSW 2010»
14 years 8 months ago
Estimating Model Parameters of Conditioned Soils by using Artificial Network
—The parameter identification of nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function represen...
Zichang Shangguan, Shouju Li, Wei Sun, Maotian Lua...
SAMOS
2010
Springer
14 years 8 months ago
Cycle-accurate performance modelling in an ultra-fast just-in-time dynamic binary translation instruction set simulator
—Instruction set simulators (ISS) are vital tools for compiler and processor architecture design space exploration and verification. State-of-the-art simulators using just-in-ti...
Igor Böhm, Björn Franke, Nigel P. Topham
COGSR
2011
82views more  COGSR 2011»
14 years 4 months ago
Executive control of retrieval in noun and verb generation
In verb/noun generation experiments, participants have to produce a word associated with a stimulus (usually a noun) and belonging to a given syntactic category (“verb” or “...
Fabio Del Missier, Cristiano Crescentini