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» Learning for Dynamic Subsumption
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120
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IJNSEC
2007
122views more  IJNSEC 2007»
15 years 2 months ago
Detecting Blackhole Attack on AODV-based Mobile Ad Hoc Networks by Dynamic Learning Method
This paper analyzes the blackhole attack which is one of the possible attacks in ad hoc networks. In a blackhole attack, a malicious node impersonates a destination node by sendin...
Satoshi Kurosawa, Hidehisa Nakayama, Nei Kato, Abb...
163
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BMCBI
2011
14 years 6 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 8 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
146
Voted
ETS
2009
IEEE
98views Hardware» more  ETS 2009»
15 years 6 days ago
Increasing Robustness of SAT-based Delay Test Generation Using Efficient Dynamic Learning Techniques
Due to the increased speed in modern designs, testing for delay faults has become an important issue in the postproduction test of manufactured chips. A high fault coverage is nee...
Stephan Eggersglüß, Rolf Drechsler
ATAL
2007
Springer
15 years 8 months ago
Sharing experiences to learn user characteristics in dynamic environments with sparse data
This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
David Sarne, Barbara J. Grosz