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134
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ML
2010
ACM
163views Machine Learning» more  ML 2010»
14 years 9 months ago
Classification with guaranteed probability of error
We introduce a general-purpose learning machine that we call the Guaranteed Error Machine, or GEM, and two learning algorithms, a real GEM algorithm and an ideal GEM algorithm. Th...
Marco C. Campi
INTERSPEECH
2010
14 years 9 months ago
Identifying articulatory goals from kinematic data using principal differential analysis
Articulatory goals can be highly indicative of lexical intentions, but are rarely used in speech classification tasks. In this paper we show that principal differential analysis c...
Michael Reimer, Frank Rudzicz
128
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IDA
2009
Springer
15 years 8 days ago
Isotonic Classification Trees
Abstract. We propose a new algorithm for learning isotonic classification trees. It relabels non-monotone leaf nodes by performing the isotonic regression on the collection of leaf...
Rémon van de Kamp, Ad Feelders, Nicola Bari...
136
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ICRA
2010
IEEE
186views Robotics» more  ICRA 2010»
15 years 14 days ago
Multi-class batch-mode active learning for image classification
Accurate image classification is crucial in many robotics and surveillance applications
Ajay J. Joshi, Fatih Porikli, Nikolaos Papanikolop...