831 search results - page 71 / 167 » Unsupervised Learning of Dependency Structure for Language M... |
143
click to vote
EDBT
2008
ACM
16 years 3 months ago
2008
ACM
In the demonstration, we will present the concepts and an implementation of an inductive database ? as proposed by Imielinski and Mannila ? in the relational model. The goal is to...
151
click to vote
JMLR
2010
14 years 10 months ago
2010
Learning dynamic Bayesian network structures provides a principled mechanism for identifying conditional dependencies in time-series data. An important assumption of traditional D...
154
Voted
AI
2006
Springer
15 years 3 months ago
2006
Springer
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
124
click to vote
EMNLP
2006
15 years 4 months ago
2006
Discriminative learning methods are widely used in natural language processing. These methods work best when their training and test data are drawn from the same distribution. For...
159
click to vote
NAACL
2004
15 years 4 months ago
2004
The regular occurrence of disfluencies is a distinguishing characteristic of spontaneous speech. Detecting and removing such disfluencies can substantially improve the usefulness ...