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» On the Utility of Inference Mechanisms
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KI
2010
Springer
13 years 7 months ago
Soft Evidential Update via Markov Chain Monte Carlo Inference
The key task in probabilistic reasoning is to appropriately update one’s beliefs as one obtains new information in the form of evidence. In many application settings, however, th...
Dominik Jain, Michael Beetz
ISCAPDCS
2004
13 years 10 months ago
A New Multicast Queuing Mechanism for High-Speed Packet Switches
Increasing multimedia applications such as teleconferencing and video-on-demand require the Internet to effectively provide high-performance multicast support. One of the promisin...
Min Song, Sachin Shetty, Mansoor Alam, HouJun Yang
CLUSTER
2004
IEEE
13 years 9 months ago
A Synchronous Co-Allocation Mechanism for Grid Computing Systems
Grid computing systems are emerging as a computing infrastructure that will enable the use of wide-area network computing systems for a variety of challenging applications. One of ...
Farag Azzedin, Muthucumaru Maheswaran, Neil Arnaso...
AGI
2011
13 years 23 days ago
Imprecise Probability as a Linking Mechanism between Deep Learning, Symbolic Cognition and Local Feature Detection in Vision Pro
A novel approach to computer vision is outlined, involving the use of imprecise probabilities to connect a deep learning based hierarchical vision system with both local feature de...
Ben Goertzel
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
14 years 2 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano