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AAAI
2006
15 years 1 months ago
Efficient L1 Regularized Logistic Regression
L1 regularized logistic regression is now a workhorse of machine learning: it is widely used for many classification problems, particularly ones with many features. L1 regularized...
Su-In Lee, Honglak Lee, Pieter Abbeel, Andrew Y. N...
TIP
2008
168views more  TIP 2008»
14 years 11 months ago
A Real-Time Algorithm for the Approximation of Level-Set-Based Curve Evolution
Abstract--In this paper, we present a complete and practical algorithm for the approximation of level-set-based curve evolution suitable for real-time implementation. In particular...
Yonggang Shi, William Clement Karl
91
Voted
NIPS
2007
15 years 1 months ago
Discriminative Log-Linear Grammars with Latent Variables
We demonstrate that log-linear grammars with latent variables can be practically trained using discriminative methods. Central to efficient discriminative training is a hierarchi...
Slav Petrov, Dan Klein
PKDD
2009
Springer
148views Data Mining» more  PKDD 2009»
15 years 6 months ago
Feature Selection by Transfer Learning with Linear Regularized Models
Abstract. This paper presents a novel feature selection method for classification of high dimensional data, such as those produced by microarrays. It includes a partial supervisio...
Thibault Helleputte, Pierre Dupont
94
Voted
CORR
2010
Springer
107views Education» more  CORR 2010»
14 years 10 months ago
Yacc is dead
Abstract. We present two novel approaches to parsing context-free languages. The first approach is based on an extension of Brzozowski’s derivative from regular expressions to c...
Matthew Might, David Darais