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BMCBI
2010
182views more  BMCBI 2010»
15 years 7 months ago
L2-norm multiple kernel learning and its application to biomedical data fusion
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
Shi Yu, Tillmann Falck, Anneleen Daemen, Lé...
BMCBI
2005
147views more  BMCBI 2005»
15 years 6 months ago
Calibration of mass spectrometric peptide mass fingerprint data without specific external or internal calibrants
Background: Peptide Mass Fingerprinting (PMF) is a widely used mass spectrometry (MS) method of analysis of proteins and peptides. It relies on the comparison between experimental...
Witold E. Wolski, Maciej Lalowski, Peter Jungblut,...
PPSN
2000
Springer
15 years 10 months ago
Optimizing through Co-evolutionary Avalanches
Abstract. We explore a new general-purpose heuristic for nding highquality solutions to hard optimization problems. The method, called extremal optimization, is inspired by self-or...
Stefan Boettcher, Allon G. Percus, Michelangelo Gr...
SPIRE
2005
Springer
16 years 10 days ago
Experimental Analysis of a Fast Intersection Algorithm for Sorted Sequences
Abstract. This work presents an experimental comparison of intersection algorithms for sorted sequences, including the recent algorithm of Baeza-Yates. This algorithm performs on a...
Ricardo A. Baeza-Yates, Alejandro Salinger
NIPS
2003
15 years 8 months ago
Online Passive-Aggressive Algorithms
We present a family of margin based online learning algorithms for various prediction tasks. In particular we derive and analyze algorithms for binary and multiclass categorizatio...
Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yor...