1995 search results - page 330 / 399 » From Data Flow Networks to Process Algebras |
NIPS
1998
14 years 11 months ago
1998
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
EMNLP
2010
14 years 7 months ago
2010
In contrast with the booming increase of internet data, state-of-art QA (question answering) systems, otherwise, concerned data from specific domains or resources such as search e...
155
click to vote
ISNN
2011
Springer
14 years 23 days ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
NIPS
1997
14 years 11 months ago
1997
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
CLUSTER
2004
IEEE
15 years 1 months ago
2004
IEEE
Cluster computing environments built from commodity hardware have provided a cost-effective solution for many scientific and high-performance applications. Likewise, middleware te...