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EAAI
2006
123views more  EAAI 2006»
14 years 9 months ago
Applications of artificial intelligence for optimization of compressor scheduling
This paper presents a feasibility study of evolutionary scheduling for gas pipeline operations. The problem is complex because of several constraints that must be taken into consi...
Hanh H. Nguyen, Christine W. Chan
ICML
2005
IEEE
15 years 10 months ago
Learning the structure of Markov logic networks
Markov logic networks (MLNs) combine logic and probability by attaching weights to first-order clauses, and viewing these as templates for features of Markov networks. In this pap...
Stanley Kok, Pedro Domingos
ECAI
2000
Springer
15 years 2 months ago
Similarity-based Approach to Relevance Learning
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
Rickard Cöster, Lars Asker
AAAI
2010
14 years 11 months ago
Structure Learning for Markov Logic Networks with Many Descriptive Attributes
Many machine learning applications that involve relational databases incorporate first-order logic and probability. Markov Logic Networks (MLNs) are a prominent statistical relati...
Hassan Khosravi, Oliver Schulte, Tong Man, Xiaoyua...
IJCNN
2006
IEEE
15 years 3 months ago
A Mobile Vision System with Reconfigurable Intelligent Agents
— Performing face detection and tracking on a mobile robot in a dynamic environment is a challenging task with the real-time constraints. To realize a natural reactive behavior o...
Yan Meng