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AAAI
2006
13 years 8 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»
13 years 7 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
NIPS
2007
13 years 8 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»
14 years 1 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
CORR
2010
Springer
107views Education» more  CORR 2010»
13 years 6 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