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» Unsupervised Feature Selection Using Feature Similarity
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ACL
2011
14 years 10 months ago
Jointly Learning to Extract and Compress
We learn a joint model of sentence extraction and compression for multi-document summarization. Our model scores candidate summaries according to a combined linear model whose fea...
Taylor Berg-Kirkpatrick, Dan Gillick, Dan Klein
229
Voted
CAV
2011
Springer
216views Hardware» more  CAV 2011»
14 years 10 months ago
Malware Analysis with Tree Automata Inference
Abstract. The underground malware-based economy is flourishing and it is evident that the classical ad-hoc signature detection methods are becoming insufficient. Malware authors ...
Domagoj Babic, Daniel Reynaud, Dawn Song
184
Voted
ICANN
2005
Springer
15 years 12 months ago
A Neural Network Model for Inter-problem Adaptive Online Time Allocation
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Matteo Gagliolo, Jürgen Schmidhuber
COLING
2010
15 years 1 months ago
Automatic Extraction of Cue Phrases for Cross-Corpus Dialogue Act Classification
In this paper, we present an investigation into the use of cue phrases as a basis for dialogue act classification. We define what we mean by cue phrases, and describe how we extra...
Nick Webb, Michael Ferguson
CVPR
2005
IEEE
16 years 8 months ago
Randomized Trees for Real-Time Keypoint Recognition
In earlier work, we proposed treating wide baseline matching of feature points as a classification problem, in which each class corresponds to the set of all possible views of suc...
Vincent Lepetit, Pascal Lagger, Pascal Fua