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METMBS
2003
255views Mathematics» more  METMBS 2003»
13 years 9 months ago
Causal Explorer: A Causal Probabilistic Network Learning Toolkit for Biomedical Discovery
Causal Probabilistic Networks (CPNs), (a.k.a. Bayesian Networks, or Belief Networks) are well-established representations in biomedical applications such as decision support system...
Constantin F. Aliferis, Ioannis Tsamardinos, Alexa...
SDL
2001
78views Hardware» more  SDL 2001»
13 years 9 months ago
Using Message Sequence Charts to Accelerate Maintenance of Existing Systems
In this paper we describe our experiences in building tools for accelerating maintenance of existing large telecommunications software. We discuss how various maintenance activitie...
Nikolai Mansurov, Djenana Campara
RECOMB
2008
Springer
14 years 8 months ago
Sorting Cancer Karyotypes by Elementary Operations
Since the discovery of the "Philadelphia chromosome" in chronic myelogenous leukemia in 1960, there is an ongoing intensive research of chromosomal aberrations in cancer....
Michal Ozery-Flato, Ron Shamir
SENSYS
2004
ACM
14 years 1 months ago
Medians and beyond: new aggregation techniques for sensor networks
Wireless sensor networks offer the potential to span and monitor large geographical areas inexpensively. Sensors, however, have significant power constraint (battery life), makin...
Nisheeth Shrivastava, Chiranjeeb Buragohain, Divya...
PVLDB
2008
160views more  PVLDB 2008»
13 years 7 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...