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» Learning network structure from passive measurements
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ITICSE
2004
ACM
14 years 3 months ago
Teaching computer networking with the help of personal computer networks
This paper describes an “experiential” learning approach to teaching a foundational course on Computer Networking. In additional to the traditional laboratory sessions and ana...
Rocky K. C. Chang
ECAI
2008
Springer
13 years 12 months ago
A Simulation-based Approach for Solving Generalized Semi-Markov Decision Processes
Time is a crucial variable in planning and often requires special attention since it introduces a specific structure along with additional complexity, especially in the case of dec...
Emmanuel Rachelson, Gauthier Quesnel, Fréd&...
AAAI
2006
13 years 11 months ago
A Characterization of Interventional Distributions in Semi-Markovian Causal Models
We offer a complete characterization of the set of distributions that could be induced by local interventions on variables governed by a causal Bayesian network of unknown structu...
Jin Tian, Changsung Kang, Judea Pearl
BMCBI
2010
227views more  BMCBI 2010»
13 years 10 months ago
Accurate and efficient gp120 V3 loop structure based models for the determination of HIV-1 co-receptor usage
Background: HIV-1 targets human cells expressing both the CD4 receptor, which binds the viral envelope glycoprotein gp120, as well as either the CCR5 (R5) or CXCR4 (X4) co-recepto...
Majid Masso, Iosif I. Vaisman
CONTEXT
2001
Springer
14 years 2 months ago
A Connectionist-Symbolic Approach to Modeling Agent Behavior: Neural Networks Grouped by Contexts
A recent report by the National Research Council (NRC) declares neural networks “hold the most promise for providing powerful learning models”. While some researchers have expe...
Amy E. Henninger, Avelino J. Gonzalez, Michael Geo...