2252 search results - page 270 / 451 » A distributed machine learning framework |
103
click to vote
SODA
2001
ACM
15 years 2 months ago
2001
ACM
Markov networks are a common class of graphical models used in machine learning. Such models use an undirected graph to capture dependency information among random variables in a ...
ICANN
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. We present a novel approach to structure learning for graphical models. By using nonparametric estimates to model clique densities in decomposable models, both discrete a...
109
Voted
ICGI
1998
Springer
15 years 5 months ago
1998
Springer
We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). W...
100
click to vote
ICPR
2004
IEEE
16 years 1 months ago
2004
IEEE
Graph edit distance provides an error-tolerant way to measure distances between attributed graphs. The effectiveness of edit distance based graph classification algorithms relies ...
85
Voted
EMNLP
2008
15 years 2 months ago
2008
We propose a new graph-based semisupervised learning (SSL) algorithm and demonstrate its application to document categorization. Each document is represented by a vertex within a ...