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JMLR
2008
94views more  JMLR 2008»
14 years 11 months ago
Using Markov Blankets for Causal Structure Learning
We show how a generic feature selection algorithm returning strongly relevant variables can be turned into a causal structure learning algorithm. We prove this under the Faithfuln...
Jean-Philippe Pellet, André Elisseeff
WWW
2007
ACM
16 years 11 days ago
SPARQ2L: towards support for subgraph extraction queries in rdf databases
Many applications in analytical domains often have the need to "connect the dots" i.e., query about the structure of data. In bioinformatics for example, it is typical t...
Kemafor Anyanwu, Angela Maduko, Amit P. Sheth
WSDM
2012
ACM
245views Data Mining» more  WSDM 2012»
13 years 7 months ago
The early bird gets the buzz: detecting anomalies and emerging trends in information networks
In this work we propose a novel approach to anomaly detection in streaming communication data. We first build a stochastic model for the system based on temporal communication pa...
Brian Thompson
MICRO
2003
IEEE
95views Hardware» more  MICRO 2003»
15 years 5 months ago
Processor Acceleration Through Automated Instruction Set Customization
Application-specific extensions to the computational capabilities of a processor provide an efficient mechanism to meet the growing performance and power demands of embedded appl...
Nathan Clark, Hongtao Zhong, Scott A. Mahlke
BMCBI
2010
117views more  BMCBI 2010»
14 years 11 months ago
New decoding algorithms for Hidden Markov Models using distance measures on labellings
Background: Existing hidden Markov model decoding algorithms do not focus on approximately identifying the sequence feature boundaries. Results: We give a set of algorithms to com...
Daniel G. Brown 0001, Jakub Truszkowski