1209 search results - page 100 / 242 » Semi-Supervised Learning with Trees |
AAAI
2008
13 years 10 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...
ICML
2000
IEEE
14 years 8 months ago
2000
IEEE
Most machine learning algorithms are lazy: they extract from the training set the minimum information needed to predict its labels. Unfortunately, this often leads to models that ...
ICML
1996
IEEE
14 years 8 months ago
1996
IEEE
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...
ML
2012
ACM
12 years 3 months ago
2012
ACM
Dependency networks approximate a joint probability distribution over multiple random variables as a product of conditional distributions. Relational Dependency Networks (RDNs) are...
SIGIR
2003
ACM
14 years 1 months ago
2003
ACM
Question classification is very important for question answering. This paper presents our research work on automatic question classification through machine learning approaches. W...