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ICONIP
2008
13 years 11 months ago
Improvement of Practical Recurrent Learning Method and Application to a Pattern Classification Task
Practical Recurrent Learning (PRL) has been proposed as a simple learning algorithm for recurrent neural networks[1][2]. This algorithm enables learning with practical order O(n2 )...
Mohamad Faizal Bin Samsudin, Katsunari Shibata
AAAI
2006
13 years 11 months ago
Sound and Efficient Inference with Probabilistic and Deterministic Dependencies
Reasoning with both probabilistic and deterministic dependencies is important for many real-world problems, and in particular for the emerging field of statistical relational lear...
Hoifung Poon, Pedro Domingos
IJCAI
1989
13 years 11 months ago
The Reason for the Benefits of Minimax Search
based on an abstract concept of quiescence. In the following we sketch this and a related model, describe the design of our experiments, and present the results of our simulation s...
Anton Scheucher, Hermann Kaindl
CORR
2010
Springer
117views Education» more  CORR 2010»
13 years 10 months ago
Evaluating and Improving Modern Variable and Revision Ordering Strategies in CSPs
A key factor that can dramatically reduce the search space during constraint solving is the criterion under which the variable to be instantiated next is selected. For this purpos...
Thanasis Balafoutis, Kostas Stergiou
JWSR
2008
147views more  JWSR 2008»
13 years 9 months ago
Karma2: Provenance Management for Data-Driven Workflows
: The increasing ability for the sciences to sense the world around us is resulting in a growing need for data driven applications that are under the control of workflows composed ...
Yogesh L. Simmhan, Beth Plale, Dennis Gannon