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» Regret Bounds for Prediction Problems
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DCC
2009
IEEE
14 years 10 months ago
Compressed Kernel Perceptrons
Kernel machines are a popular class of machine learning algorithms that achieve state of the art accuracies on many real-life classification problems. Kernel perceptrons are among...
Slobodan Vucetic, Vladimir Coric, Zhuang Wang
IWMM
2009
Springer
164views Hardware» more  IWMM 2009»
14 years 4 months ago
Live heap space analysis for languages with garbage collection
The peak heap consumption of a program is the maximum size of the live data on the heap during the execution of the program, i.e., the minimum amount of heap space needed to run t...
Elvira Albert, Samir Genaim, Miguel Gómez-Z...
ICALP
2005
Springer
14 years 3 months ago
New Approaches for Virtual Private Network Design
Virtual Private Network Design is the following NP-hard problem. We are given a communication network, represented as a weighted graph with thresholds on the nodes which represent...
Friedrich Eisenbrand, Fabrizio Grandoni, Gianpaolo...
ECBS
1999
IEEE
138views Hardware» more  ECBS 1999»
14 years 2 months ago
Multi-Domain Surety Modeling and Analysis for High Assurance Systems
Engineering systems are becoming increasingly complex as state of the art technologies are incorporated into designs. Surety modeling and analysis is an emerging science which per...
James Davis, Jason Scott, Janos Sztipanovits, Marc...
STOC
2005
ACM
110views Algorithms» more  STOC 2005»
14 years 10 months ago
Key agreement from weak bit agreement
Assume that Alice and Bob, given an authentic channel, have a protocol where they end up with a bit SA and SB, respectively, such that with probability 1+ 2 these bits are equal. ...
Thomas Holenstein