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NIPS
1997
15 years 4 months ago
Incorporating Test Inputs into Learning
In many applications, such as credit default prediction and medical image recognition, test inputs are available in addition to the labeled training examples. We propose a method ...
Zehra Cataltepe, Malik Magdon-Ismail
IJCAI
2003
15 years 4 months ago
Learning Value Predictors for the Speculative Execution of Information Gathering Plans
Speculative execution of information gathering plans can dramatically reduce the effect of source I/O latencies on overall performance. However, the utility of speculation is clos...
Greg Barish, Craig A. Knoblock
ICDM
2010
IEEE
172views Data Mining» more  ICDM 2010»
15 years 1 months ago
Learning Attribute-to-Feature Mappings for Cold-Start Recommendations
Cold-start scenarios in recommender systems are situations in which no prior events, like ratings or clicks, are known for certain users or items. To compute predictions in such ca...
Zeno Gantner, Lucas Drumond, Christoph Freudenthal...
ECML
2003
Springer
15 years 8 months ago
Ensembles of Multi-instance Learners
In multi-instance learning, the training set comprises labeled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. Through analyzin...
Zhi-Hua Zhou, Min-Ling Zhang
98
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COLT
2004
Springer
15 years 8 months ago
Polynomial Time Prediction Strategy with Almost Optimal Mistake Probability
We give the first polynomial time prediction strategy for any PAC-learnable class C that probabilistically predicts the target with mistake probability poly(log(t)) t = ˜O 1 t w...
Nader H. Bshouty