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COLT
1999
Springer
15 years 9 months ago
Regret Bounds for Prediction Problems
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...
Geoffrey J. Gordon
CF
2007
ACM
15 years 8 months ago
Accelerating memory decryption and authentication with frequent value prediction
This paper presents a novel architectural technique to hide fetch latency overhead of hardware encrypted and authenticated memory. A number of recent secure processor designs have...
Weidong Shi, Hsien-Hsin S. Lee
ATAL
2010
Springer
15 years 5 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon
138
Voted
BMCBI
2006
133views more  BMCBI 2006»
15 years 4 months ago
An integrated approach to the prediction of domain-domain interactions
Background: The development of high-throughput technologies has produced several large scale protein interaction data sets for multiple species, and significant efforts have been ...
Hyunju Lee, Minghua Deng, Fengzhu Sun, Ting Chen
ISSRE
2005
IEEE
15 years 10 months ago
A Novel Method for Early Software Quality Prediction Based on Support Vector Machine
The software development process imposes major impacts on the quality of software at every development stage; therefore, a common goal of each software development phase concerns ...
Fei Xing, Ping Guo, Michael R. Lyu