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» Factorial Learning and the EM Algorithm
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WWW
2004
ACM
16 years 14 days ago
Dealing with different distributions in learning from
In the problem of learning with positive and unlabeled examples, existing research all assumes that positive examples P and the hidden positive examples in the unlabeled set U are...
Xiaoli Li, Bing Liu
NIPS
2004
15 years 1 months ago
Learning Gaussian Process Kernels via Hierarchical Bayes
We present a novel method for learning with Gaussian process regression in a hierarchical Bayesian framework. In a first step, kernel matrices on a fixed set of input points are l...
Anton Schwaighofer, Volker Tresp, Kai Yu
ACL
2008
15 years 1 months ago
Using Automatically Transcribed Dialogs to Learn User Models in a Spoken Dialog System
We use an EM algorithm to learn user models in a spoken dialog system. Our method requires automatically transcribed (with ASR) dialog corpora, plus a model of transcription error...
Umar Syed, Jason Williams
ICPR
2010
IEEE
15 years 1 months ago
Learning Probabilistic Models of Contours
We present a methodology for learning spline-based probabilistic models for sets of contours, proposing a new Monte Carlo variant of the EM algorithm to estimate the parameters of...
Laure Amate, Maria João Rendas
EMNLP
2010
14 years 9 months ago
Cross Language Text Classification by Model Translation and Semi-Supervised Learning
In this paper, we introduce a method that automatically builds text classifiers in a new language by training on already labeled data in another language. Our method transfers the...
Lei Shi, Rada Mihalcea, Mingjun Tian