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NAACL
2004
13 years 11 months ago
Detecting Structural Metadata with Decision Trees and Transformation-Based Learning
The regular occurrence of disfluencies is a distinguishing characteristic of spontaneous speech. Detecting and removing such disfluencies can substantially improve the usefulness ...
Joungbum Kim, Sarah E. Schwarm, Mari Ostendorf
CORR
2007
Springer
112views Education» more  CORR 2007»
13 years 10 months ago
Learning from compressed observations
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
Maxim Raginsky
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 8 months ago
Learning Networks of Stochastic Differential Equations
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
José Bento, Morteza Ibrahimi, Andrea Montan...
JMLR
2010
132views more  JMLR 2010»
13 years 4 months ago
On the Impact of Kernel Approximation on Learning Accuracy
Kernel approximation is commonly used to scale kernel-based algorithms to applications containing as many as several million instances. This paper analyzes the effect of such appr...
Corinna Cortes, Mehryar Mohri, Ameet Talwalkar
ISMAR
2003
IEEE
14 years 3 months ago
Augmented Reality Kanji Learning
ARToolKit programmers are familiar with the kanji symbols supplied with the distribution. Most of them have do not know what these kanji symbols mean. We propose a piece of educat...
Daniel Wagner, István Barakonyi