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129
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ECML
2007
Springer
15 years 8 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
130
Voted
ECML
2007
Springer
15 years 8 months ago
Bayesian Inference for Sparse Generalized Linear Models
We present a framework for efficient, accurate approximate Bayesian inference in generalized linear models (GLMs), based on the expectation propagation (EP) technique. The paramete...
Matthias Seeger, Sebastian Gerwinn, Matthias Bethg...
127
Voted
EUROPAR
2007
Springer
15 years 8 months ago
Parallel Nearest Neighbour Algorithms for Text Categorization
In this paper we describe the parallelization of two nearest neighbour classification algorithms. Nearest neighbour methods are well-known machine learning techniques. They have be...
Reynaldo Gil-García, José Manuel Bad...
MLMI
2007
Springer
15 years 8 months ago
Microphone Array Beamforming Approach to Blind Speech Separation
In this paper, we present a microphone array beamforming approach to blind speech separation. Unlike previous beamforming approaches, our system does not require a-priori knowledge...
Ivan Himawan, Iain McCowan, Mike Lincoln
ICALT
2006
IEEE
15 years 8 months ago
Implementation of a Personalized Assessment Web Service
This paper describes the design, development and qualitative evaluation of a web-based personalized assessment service of an object–oriented programming course at the University...
Lilia Cheniti-Belcadhi, Nicola Henze, Rafik Braham