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ACL
2009
15 years 4 days ago
Reducing the Annotation Effort for Letter-to-Phoneme Conversion
Letter-to-phoneme (L2P) conversion is the process of producing a correct phoneme sequence for a word, given its letters. It is often desirable to reduce the quantity of training d...
Kenneth Dwyer, Grzegorz Kondrak
DMIN
2009
142views Data Mining» more  DMIN 2009»
15 years 3 days ago
A Combinatorial Fusion Method for Feature Construction
- This paper demonstrates how methods borrowed from information fusion can improve the performance of a classifier by constructing (i.e., fusing) new features that are combinations...
Ye Tian, Gary M. Weiss, D. Frank Hsu, Qiang Ma
JMLR
2010
101views more  JMLR 2010»
14 years 9 months ago
Classification Using Geometric Level Sets
A variational level set method is developed for the supervised classification problem. Nonlinear classifier decision boundaries are obtained by minimizing an energy functional tha...
Kush R. Varshney, Alan S. Willsky
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 2 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
WIA
2005
Springer
15 years 7 months ago
Learning Stochastic Finite Automata for Musical Style Recognition
Abstract. Stochastic deterministic finite automata have been introduced and are used in a variety of settings. We use them to model musical styles: a same automaton can be used to...
Colin de la Higuera, Frédéric Piat, ...