7378 search results - page 414 / 1476 » Introduction to Machine Learning |
121
click to vote
LREC
2008
15 years 8 months ago
2008
We present work on a three-stage system to detect and classify disfluencies in multi party dialogues. The system consists of a regular expression based module and two machine lear...
149
click to vote
ICML
2010
IEEE
15 years 8 months ago
2010
IEEE
Maximum a posteriori (MAP) inference in graphical models requires that we maximize the sum of two terms: a data-dependent term, encoding the conditional likelihood of a certain la...
139
click to vote
BMCBI
2007
15 years 6 months ago
2007
abstract Niels Landwehr1 , Taneli Mielik¨ainen2 , Lauri Eronen2 , Hannu Toivonen1,2 , and Heikki Mannila2 1 Machine Learning Lab, Dept. of Comp. Science, University of Freiburg, G...
166
click to vote
ML
2002
ACM
15 years 6 months ago
2002
ACM
Binningandtruncationofdataarecommonindataanalysisandmachinelearning.Thispaperaddresses the problem of fitting mixture densities to multivariate binned and truncated data. The EM ap...
230
click to vote
ML
2002
ACM
15 years 6 months ago
2002
ACM
This paper introduces a Bayesian method for clustering dynamic processes. The method models dynamics as Markov chains and then applies an agglomerative clustering procedure to disc...