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» Towards Optimal Bayesian Algorithmic Mechanism Design
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JGO
2010
117views more  JGO 2010»
13 years 6 months ago
Machine learning problems from optimization perspective
Both optimization and learning play important roles in a system for intelligent tasks. On one hand, we introduce three types of optimization tasks studied in the machine learning l...
Lei Xu
ISCA
2007
IEEE
114views Hardware» more  ISCA 2007»
14 years 1 months ago
Mechanisms for bounding vulnerabilities of processor structures
Concern for the increasing susceptibility of processor structures to transient errors has led to several recent research efforts that propose architectural techniques to enhance r...
Niranjan Soundararajan, Angshuman Parashar, Anand ...
ECAI
2006
Springer
13 years 11 months ago
Patch Learning for Incremental Classifier Design
We present a learning algorithm for nominal data. It builds a classifier by adding iteratively a simple patch function that modifies the current classifier. Its main advantage lies...
Rudy Sicard, Thierry Artières, Eric Petit
VTC
2007
IEEE
126views Communications» more  VTC 2007»
14 years 1 months ago
Symmetric Radial Basis Function Assisted Space-Time Equalisation for Multiple Receive-Antenna Aided Systems
— This constribution considers nonlinear space-time equalisation (STE) designed for single-input multiple-output (SIMO) systems. By exploiting the inherent symmetry of the underl...
Lajos Hanzo, Sheng Chen, S. Liu
ATAL
2008
Springer
13 years 9 months ago
Playing games for security: an efficient exact algorithm for solving Bayesian Stackelberg games
In a class of games known as Stackelberg games, one agent (the leader) must commit to a strategy that can be observed by the other agent (the follower or adversary) before the adv...
Praveen Paruchuri, Jonathan P. Pearce, Janusz Mare...