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» Universal Exponentiation Algorithm
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75
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COLT
2005
Springer
15 years 3 months ago
Analysis of Perceptron-Based Active Learning
We start by showing that in an active learning setting, the Perceptron algorithm needs Ω( 1 ε2 ) labels to learn linear separators within generalization error ε. We then prese...
Sanjoy Dasgupta, Adam Tauman Kalai, Claire Montele...
70
Voted
ASIACRYPT
2000
Springer
15 years 2 months ago
A Note on Security Proofs in the Generic Model
A discrete-logarithm algorithm is called generic if it does not exploit the specific representation of the cyclic group for which it is supposed to compute discrete logarithms. Su...
Marc Fischlin
69
Voted
NIPS
2007
14 years 11 months ago
One-Pass Boosting
This paper studies boosting algorithms that make a single pass over a set of base classifiers. We first analyze a one-pass algorithm in the setting of boosting with diverse base...
Zafer Barutçuoglu, Philip M. Long, Rocco A....
87
Voted
AAAI
2006
14 years 11 months ago
Memory Intensive Branch-and-Bound Search for Graphical Models
AND/OR search spaces have recently been introduced as a unifying paradigm for advanced algorithmic schemes for graphical models. The main virtue of this representation is its sens...
Radu Marinescu 0002, Rina Dechter
PODS
2006
ACM
137views Database» more  PODS 2006»
15 years 10 months ago
Data exchange: computing cores in polynomial time
Data exchange deals with inserting data from one database into another database having a different schema. We study and solve a central computational problem of data exchange, nam...
Georg Gottlob, Alan Nash