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ICDM
2009
IEEE
152views Data Mining» more  ICDM 2009»
16 years 1 months ago
SLIDER: Mining Correlated Motifs in Protein-Protein Interaction Networks
Correlated motif mining (CMM) is the problem to find overrepresented pairs of patterns, called motif pairs, in interacting protein sequences. Algorithmic solutions for CMM thereb...
Peter Boyen, Frank Neven, Dries Van Dyck, Aalt-Jan...
KSEM
2009
Springer
16 years 1 months ago
An Anytime Algorithm for Computing Inconsistency Measurement
Measuring the inconsistency degree of an inconsistent knowledge base is an important problem as it provides context information for facilitating inconsistency handling. Many method...
Yue Ma, Guilin Qi, Guohui Xiao, Pascal Hitzler, Zu...
ESWS
2007
Springer
16 years 1 months ago
Algorithms for Paraconsistent Reasoning with OWL
In an open, constantly changing and collaborative environment like the forthcoming Semantic Web, it is reasonable to expect that knowledge sources will contain noise and inaccuraci...
Yue Ma, Pascal Hitzler, Zuoquan Lin
SETA
2004
Springer
122views Mathematics» more  SETA 2004»
16 years 17 days ago
New LFSR-Based Cryptosystems and the Trace Discrete Log Problem (Trace-DLP)
In order to reduce key sizes and bandwidth, cryptographic systems have been proposed using minimal polynomials to represent finite field elements. These systems are essentially e...
Kenneth J. Giuliani, Guang Gong
CDC
2009
IEEE
132views Control Systems» more  CDC 2009»
15 years 12 months ago
Q-learning and Pontryagin's Minimum Principle
Abstract— Q-learning is a technique used to compute an optimal policy for a controlled Markov chain based on observations of the system controlled using a non-optimal policy. It ...
Prashant G. Mehta, Sean P. Meyn