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» Feature Selection and Effective Classifiers
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GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 3 months ago
Improving the human readability of features constructed by genetic programming
The use of machine learning techniques to automatically analyse data for information is becoming increasingly widespread. In this paper we examine the use of Genetic Programming a...
Matthew Smith, Larry Bull
EMNLP
2008
13 years 10 months ago
Discriminative Learning of Selectional Preference from Unlabeled Text
We present a discriminative method for learning selectional preferences from unlabeled text. Positive examples are taken from observed predicate-argument pairs, while negatives ar...
Shane Bergsma, Dekang Lin, Randy Goebel
DAGM
2008
Springer
13 years 10 months ago
Efficient Tracking as Linear Program on Weak Binary Classifiers
This paper demonstrates how a simple, yet effective, set of features enables to integrate ensemble classifiers in optical flow based tracking. In particular, gray value differences...
Michael Grabner, Christopher Zach, Horst Bischof
CIARP
2007
Springer
14 years 23 days ago
Texture Classification Through Combination of Sequential Colour Texture Classifiers
The sequential approach to colour texture classification relies on colour histogram clustering before extracting texture features from indexed images. The basic idea of such method...
Francesco Bianconi, Antonio Fernández, Elen...
CLEF
2006
Springer
14 years 16 days ago
The Effect of Entity Recognition on Answer Validation
The Answer Validation Exercise (AVE) 2006 is aimed at evaluating systems able to decide whether the responses of a Question Answering (QA) system are correct or not. Since most of ...
Álvaro Rodrigo, Anselmo Peñas, Jes&u...