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HIS
2008
15 years 5 months ago
REPMAC: A New Hybrid Approach to Highly Imbalanced Classification Problems
The class imbalance problem (when one of the classes has much less samples than the others) is of great importance in machine learning, because it corresponds to many critical app...
Hernán Ahumada, Guillermo L. Grinblat, Luca...
ICMLA
2008
15 years 5 months ago
Data Integration for Recommendation Systems
The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
Zhonghang Xia, Houduo Qi, Manghui Tu, Wenke Zhang
HCI
2007
15 years 5 months ago
Improving the Mobility Performance of Autonomous Unmanned Ground Vehicles by Adding the Ability to 'Sense/Feel' Their Local Envi
This paper explores how a ‘learning’ algorithm can be added to UGV’s by giving it the ability to test the terrain through ‘feeling’ using incorporated sensors, which woul...
Siddharth Odedra, Stephen D. Prior, Mehmet Karaman...
126
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IFIP3
2008
111views Education» more  IFIP3 2008»
15 years 5 months ago
Maintenance of Learner's Characteristics by Spreading a Change
Learners have different knowledge, interests and also goals in any educational process. If all the learners are provided the same content the process will probably not meet expecte...
Michal Simún, Anton Andrejko, Mária ...
NIPS
2008
15 years 5 months ago
Spectral Hashing
Semantic hashing[1] seeks compact binary codes of data-points so that the Hamming distance between codewords correlates with semantic similarity. In this paper, we show that the p...
Yair Weiss, Antonio Torralba, Robert Fergus