1436 search results - page 162 / 288 » Using Machine Learning Techniques to Interpret WH-questions |
170
click to vote
JMLR
2002
15 years 3 months ago
2002
Recently, sample complexity bounds have been derived for problems involving linear functions such as neural networks and support vector machines. In many of these theoretical stud...
138
click to vote
ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
Intuitively, learning should be easier when the data points lie on a low-dimensional submanifold of the input space. Recently there has been a growing interest in algorithms that ...
107
click to vote
ICML
2005
IEEE
16 years 5 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
162
click to vote
ECML
2007
Springer
15 years 10 months ago
2007
Springer
Abstract. Principal component analysis (PCA) is a well-known classical data analysis technique. There are a number of algorithms for solving the problem, some scaling better than o...
166
click to vote
ICML
2010
IEEE
15 years 5 months ago
2010
IEEE
Inference in graphical models has emerged as a promising technique for planning. A recent approach to decision-theoretic planning in relational domains uses forward inference in d...