4660 search results - page 614 / 932 » Learning from imperfect data |
102
Voted
NLPRS
2001
Springer
15 years 5 months ago
2001
Springer
This paper reports on a study involving the automatic extraction of Chinese legal terms. We used a word segmented corpus of Chinese court judgments to extract salient legal expres...
85
Voted
AAAI
2008
15 years 3 months ago
2008
We propose a novel method for approximate inference in Bayesian networks (BNs). The idea is to sample data from a BN, learn a latent tree model (LTM) from the data offline, and wh...
NIPS
2004
15 years 2 months ago
2004
Classification algorithms typically induce population-wide models that are trained to perform well on average on expected future instances. We introduce a Bayesian framework for l...
126
click to vote
NIPS
1992
15 years 2 months ago
1992
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
109
click to vote
ICPR
2010
IEEE
15 years 1 months ago
2010
IEEE
—This paper presents a method to find salient image points in images with regular patterns based on deviations from the overall manifold structure. The two main contributions ar...