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» A Bayesian Metric for Evaluating Machine Learning Algorithms
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ICML
1999
IEEE
16 years 1 months ago
Least-Squares Temporal Difference Learning
Excerpted from: Boyan, Justin. Learning Evaluation Functions for Global Optimization. Ph.D. thesis, Carnegie Mellon University, August 1998. (Available as Technical Report CMU-CS-...
Justin A. Boyan
MLMI
2007
Springer
15 years 6 months ago
Binaural Speech Separation Using Recurrent Timing Neural Networks for Joint F0-Localisation Estimation
A speech separation system is described in which sources are represented in a joint interaural time difference-fundamental frequency (ITD-F0) cue space. Traditionally, recurrent t...
Stuart N. Wrigley, Guy J. Brown
ECIR
2006
Springer
15 years 1 months ago
Automatic Document Organization in a P2P Environment
Abstract. This paper describes an efficient method to construct reliable machine learning applications in peer-to-peer (P2P) networks by building ensemble based meta methods. We co...
Stefan Siersdorfer, Sergej Sizov
ISMIR
2004
Springer
176views Music» more  ISMIR 2004»
15 years 6 months ago
The International Music Information Retrieval Systems Evaluation Laboratory: Governance, Access and Security
The IMIRSEL (International Music Information Retrieval Systems Evaluation Laboratory) project provides an unprecedented platform for evaluating Music Information Retrieval (MIR) a...
J. Stephen Downie, Joe Futrelle, David K. Tcheng
93
Voted
ICML
2008
IEEE
16 years 1 months ago
ICA and ISA using Schweizer-Wolff measure of dependence
We propose a new algorithm for independent component and independent subspace analysis problems. This algorithm uses a contrast based on the Schweizer-Wolff measure of pairwise de...
Barnabás Póczos, Sergey Kirshner