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» A Data Locality Optimizing Algorithm
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ICML
2004
IEEE
16 years 4 months ago
Multiple kernel learning, conic duality, and the SMO algorithm
While classical kernel-based classifiers are based on a single kernel, in practice it is often desirable to base classifiers on combinations of multiple kernels. Lanckriet et al. ...
Francis R. Bach, Gert R. G. Lanckriet, Michael I. ...
PICS
2000
15 years 4 months ago
Data Embedding Using Phase Dispersion
A method of data embedding based on the convolution of message data with a random phase carrier is presented. The theory behind this method is reviewed and it is shown that the te...
Chris Honsinger
MICRO
2003
IEEE
121views Hardware» more  MICRO 2003»
15 years 8 months ago
Exploiting Value Locality in Physical Register Files
The physical register file is an important component of a dynamically-scheduled processor. Increasing the amount of parallelism places increasing demands on the physical register...
Saisanthosh Balakrishnan, Gurindar S. Sohi
JMLR
2008
107views more  JMLR 2008»
15 years 3 months ago
A Library for Locally Weighted Projection Regression
In this paper we introduce an improved implementation of locally weighted projection regression (LWPR), a supervised learning algorithm that is capable of handling high-dimensiona...
Stefan Klanke, Sethu Vijayakumar, Stefan Schaal
ICPR
2004
IEEE
16 years 4 months ago
Relaxation Labeling Processes for Protein Secondary Structure Prediction
The prediction of protein secondary structure is a classical problem in bioinformatics, and in the past few years several machine learning techniques have been proposed to t. From...
Giacomo Colle, Marcello Pelillo