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» Multiple Predicate Learning
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118
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KR
2000
Springer
15 years 7 months ago
Approximate Objects and Approximate Theories
We propose to extend the ontology of logical AI to include approximate objects, approximate predicates and approximate theories. Besides the ontology we treat the relations among ...
John McCarthy
132
Voted
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
16 years 4 months ago
Modeling relationships at multiple scales to improve accuracy of large recommender systems
The collaborative filtering approach to recommender systems predicts user preferences for products or services by learning past useritem relationships. In this work, we propose no...
Robert M. Bell, Yehuda Koren, Chris Volinsky
150
Voted
MOBICOM
2010
ACM
15 years 4 months ago
CSMA/CN: carrier sense multiple access with collision notification
A wireless transmitter learns of a packet loss, infers collision, only after completing the entire transmission. If the transmitter could detect the collision early (such as with ...
Souvik Sen, Romit Roy Choudhury, Srihari Nelakudit...
142
Voted
BMCBI
2006
137views more  BMCBI 2006»
15 years 3 months ago
Sigma: multiple alignment of weakly-conserved non-coding DNA sequence
Background: Existing tools for multiple-sequence alignment focus on aligning protein sequence or protein-coding DNA sequence, and are often based on extensions to Needleman-Wunsch...
Rahul Siddharthan
153
Voted
IVC
2010
289views more  IVC 2010»
15 years 2 months ago
Automatic 3D object segmentation in multiple views using volumetric graph-cuts
We propose an algorithm for automatically obtaining a segmentation of a rigid object in a sequence of images that are calibrated for camera pose and intrinsic parameters. Until re...
Neill D. F. Campbell, George Vogiatzis, Carlos Her...