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» Evaluating machine learning for information extraction
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149
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ECML
2006
Springer
15 years 6 months ago
Cascade Evaluation of Clustering Algorithms
Abstract. This paper is about the evaluation of the results of clustering algorithms, and the comparison of such algorithms. We propose a new method based on the enrichment of a se...
Laurent Candillier, Isabelle Tellier, Fabien Torre...
145
Voted
ACL
2006
15 years 6 months ago
URES : an Unsupervised Web Relation Extraction System
Most information extraction systems either use hand written extraction patterns or use a machine learning algorithm that is trained on a manually annotated corpus. Both of these a...
Binyamin Rosenfeld, Ronen Feldman
MLMI
2007
Springer
15 years 10 months ago
Binaural Speech Separation Using Recurrent Timing Neural Networks for Joint F0-Localisation Estimation
A speech separation system is described in which sources are represented in a joint interaural time difference-fundamental frequency (ITD-F0) cue space. Traditionally, recurrent t...
Stuart N. Wrigley, Guy J. Brown
KDD
1995
ACM
139views Data Mining» more  KDD 1995»
15 years 8 months ago
Extracting Support Data for a Given Task
We report a novel possibility for extracting a small subset of a data base which contains all the information necessary to solve a given classification task: using the Support Vec...
Bernhard Schölkopf, Chris Burges, Vladimir Va...
MLCW
2005
Springer
15 years 10 months ago
Evaluating Predictive Uncertainty Challenge
This Chapter presents the PASCAL1 Evaluating Predictive Uncertainty Challenge, introduces the contributed Chapters by the participants who obtained outstanding results, and provide...
Joaquin Quiñonero Candela, Carl Edward Rasm...