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SODA
2003
ACM
167views Algorithms» more  SODA 2003»
13 years 9 months ago
Counting inversions in lists
In a recent paper, Ajtai et al. [1] give a streaming algorithm to count the number of inversions in a stream Ä ¾ Ñ Ò using two passes and Ç´¯ ½ ÔÒÐÓ Ò´ÐÓ Ñ·ÐÓ...
Anupam Gupta, Francis Zane
ATAL
2010
Springer
13 years 8 months ago
False-name-proofness with bid withdrawal
We study a more powerful variant of false-name manipulation in Internet auctions: an agent can submit multiple false-name bids, but then, once the allocation and payments have bee...
Mingyu Guo, Vincent Conitzer
BMCBI
2007
140views more  BMCBI 2007»
13 years 7 months ago
Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure in
Background: Structural properties of proteins such as secondary structure and solvent accessibility contribute to three-dimensional structure prediction, not only in the ab initio...
Gianluca Pollastri, Alberto J. M. Martin, Catherin...
ML
2007
ACM
156views Machine Learning» more  ML 2007»
13 years 7 months ago
Active learning for logistic regression: an evaluation
Which active learning methods can we expect to yield good performance in learning binary and multi-category logistic regression classifiers? Addressing this question is a natural ...
Andrew I. Schein, Lyle H. Ungar
CORR
2010
Springer
204views Education» more  CORR 2010»
13 years 6 months ago
Predictive State Temporal Difference Learning
We propose a new approach to value function approximation which combines linear temporal difference reinforcement learning with subspace identification. In practical applications...
Byron Boots, Geoffrey J. Gordon