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KI
2008
Springer
13 years 9 months ago
Can Argumentation Help AI to Understand Explanation?
ed from context by seeing an explanation inferentially, much in the same way that early expert systems saw an explanation as chaining of inferences. This approach omitted, for the ...
Doug Walton
FUIN
2007
135views more  FUIN 2007»
13 years 9 months ago
On First-Order Fragments for Mazurkiewicz Traces
Mazurkiewicz traces form a model for concurrency. Temporal logic st-order logic are important tools in order to deal with the abstract behavior of such systems. Since typical prop...
Volker Diekert, Martin Horsch, Manfred Kufleitner
PAMI
2008
161views more  PAMI 2008»
13 years 9 months ago
TRUST-TECH-Based Expectation Maximization for Learning Finite Mixture Models
The Expectation Maximization (EM) algorithm is widely used for learning finite mixture models despite its greedy nature. Most popular model-based clustering techniques might yield...
Chandan K. Reddy, Hsiao-Dong Chiang, Bala Rajaratn...
PAMI
2006
132views more  PAMI 2006»
13 years 9 months ago
Capitalize on Dimensionality Increasing Techniques for Improving Face Recognition Grand Challenge Performance
This paper presents a novel pattern recognition framework by capitalizing on dimensionality increasing techniques. In particular, the framework integrates Gabor image representatio...
Chengjun Liu
SIGMETRICS
2008
ACM
161views Hardware» more  SIGMETRICS 2008»
13 years 9 months ago
Noncooperative power control and transmission scheduling in wireless collision channels
We consider a wireless collision channel, shared by a finite number of mobile users who transmit to a common base station using a random access protocol. Mobiles are selfoptimizin...
Ishai Menache, Nahum Shimkin