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NIPS
1992
13 years 8 months ago
Explanation-Based Neural Network Learning for Robot Control
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
Tom M. Mitchell, Sebastian Thrun
BMCBI
2008
137views more  BMCBI 2008»
13 years 7 months ago
A dynamic Bayesian network approach to protein secondary structure prediction
Background: Protein secondary structure prediction method based on probabilistic models such as hidden Markov model (HMM) appeals to many because it provides meaningful informatio...
Xin-Qiu Yao, Huaiqiu Zhu, Zhen-Su She
ENTCS
2008
110views more  ENTCS 2008»
13 years 7 months ago
Game-Based Probabilistic Predicate Abstraction in PRISM
ion in PRISM1 Mark Kattenbelt Marta Kwiatkowska Gethin Norman David Parker Oxford University Computing Laboratory, Oxford, UK Modelling and verification of systems such as communi...
Mark Kattenbelt, Marta Z. Kwiatkowska, Gethin Norm...
EUROSYS
2009
ACM
14 years 4 months ago
User interactions in social networks and their implications
Social networks are popular platforms for interaction, communication and collaboration between friends. Researchers have recently proposed an emerging class of applications that l...
Christo Wilson, Bryce Boe, Alessandra Sala, Krishn...
ICDCS
2008
IEEE
14 years 2 months ago
Performance Analysis of Group Based Detection for Sparse Sensor Networks
In this paper, we analyze the performance of group based detection in sparse sensor networks, when the system level detection decision is made based on the detection reports gener...
Jingbin Zhang, Gang Zhou, Sang Hyuk Son, John A. S...