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RECOMB
2005
Springer
16 years 2 months ago
Learning Interpretable SVMs for Biological Sequence Classification
Background: Support Vector Machines (SVMs) ? using a variety of string kernels ? have been successfully applied to biological sequence classification problems. While SVMs achieve ...
Christin Schäfer, Gunnar Rätsch, Sö...
110
Voted
ISMIR
2004
Springer
132views Music» more  ISMIR 2004»
15 years 8 months ago
Classification of musical genre: a machine learning approach
In this paper, we investigate the impact of machine learning algorithms in the development of automatic music classification models aiming to capture genres distinctions. The stu...
Roberto Basili, Alfredo Serafini, Armando Stellato
COLT
2001
Springer
15 years 7 months ago
On Learning Monotone DNF under Product Distributions
We show that the class of monotone 2O( √ log n)-term DNF formulae can be PAC learned in polynomial time under the uniform distribution from random examples only. This is an expo...
Rocco A. Servedio
NIPS
2008
15 years 4 months ago
Exact Convex Confidence-Weighted Learning
Confidence-weighted (CW) learning [6], an online learning method for linear classifiers, maintains a Gaussian distributions over weight vectors, with a covariance matrix that repr...
Koby Crammer, Mark Dredze, Fernando Pereira
101
Voted
ECIS
2000
15 years 4 months ago
Reengineering Undergraduate Teaching by Introducing Internet-Based Learning Information Systems
- This paper illustrates how internet-based learning information systems can be used to reengineer undergraduate teaching in the age of mass higher education. We describe current p...
Petra Meier, Bernd Simon