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» Story Book: An Efficient Extensible Provenance Framework
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2009
13 years 2 months ago
Story Book: An Efficient Extensible Provenance Framework
Most application provenance systems are hard coded for a particular type of system or data, while current provenance file systems maintain in-memory provenance graphs and reside i...
Richard P. Spillane, Russell Sears, Chaitanya Yala...
CIB
2005
128views more  CIB 2005»
13 years 4 months ago
The Predicting Power of Textual Information on Financial Markets
Abstract-- Mining textual documents and time series concurrently, such as predicting the movements of stock prices based on the contents of the news stories, is an emerging topic i...
Gabriel Pui Cheong Fung, Jeffrey Xu Yu, Hongjun Lu
AIPS
2006
13 years 5 months ago
Concurrent Probabilistic Planning in the Graphplan Framework
We consider the problem of planning optimally in potentially concurrent probabilistic domains: actions have probabilistic effects and may execute in parallel under certain conditi...
Iain Little, Sylvie Thiébaux
ICMLA
2009
13 years 2 months ago
Learning Deep Neural Networks for High Dimensional Output Problems
State-of-the-art pattern recognition methods have difficulty dealing with problems where the dimension of the output space is large. In this article, we propose a new framework ba...
Benjamin Labbé, Romain Hérault, Cl&e...
BMCBI
2005
87views more  BMCBI 2005»
13 years 4 months ago
Efficient decoding algorithms for generalized hidden Markov model gene finders
Background: The Generalized Hidden Markov Model (GHMM) has proven a useful framework for the task of computational gene prediction in eukaryotic genomes, due to its flexibility an...
William H. Majoros, Mihaela Pertea, Arthur L. Delc...