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AMAI
2008
Springer
15 years 4 months ago
A semiparametric generative model for efficient structured-output supervised learning
Fabrizio Costa, Andrea Passerini, Marco Lippi, Pao...
154
Voted
EMNLP
2010
15 years 2 months ago
Efficient Graph-Based Semi-Supervised Learning of Structured Tagging Models
We describe a new scalable algorithm for semi-supervised training of conditional random fields (CRF) and its application to partof-speech (POS) tagging. The algorithm uses a simil...
Amarnag Subramanya, Slav Petrov, Fernando Pereira
PKDD
2010
Springer
169views Data Mining» more  PKDD 2010»
15 years 2 months ago
Efficient and Numerically Stable Sparse Learning
We consider the problem of numerical stability and model density growth when training a sparse linear model from massive data. We focus on scalable algorithms that optimize certain...
Sihong Xie, Wei Fan, Olivier Verscheure, Jiangtao ...
138
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ICML
2000
IEEE
16 years 5 months ago
Meta-Learning by Landmarking Various Learning Algorithms
Landmarking is a novel approach to describing tasks in meta-learning. Previous approaches to meta-learning mostly considered only statistics-inspired measures of the data as a sou...
Bernhard Pfahringer, Hilan Bensusan, Christophe G....
143
Voted
COLT
1995
Springer
15 years 8 months ago
On Learning Bounded-Width Branching Programs
In this paper, we study PAC-leaming algorithms for specialized classes of deterministic finite automata (DFA). Inpartictdar, we study branchingprogrsms, and we investigate the int...
Funda Ergün, Ravi Kumar, Ronitt Rubinfeld