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NIPS
2007
13 years 10 months ago
A Randomized Algorithm for Large Scale Support Vector Learning
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
Krishnan Kumar, Chiru Bhattacharyya, Ramesh Hariha...
LCN
2006
IEEE
14 years 2 months ago
Sensor Networks Routing via Bayesian Exploration
There is increasing research interest in solving routing problems in sensor networks subject to constraints such as data correlation, link reliability and energy conservation. Sin...
Shuang Hao, Ting Wang
EH
1999
IEEE
351views Hardware» more  EH 1999»
14 years 1 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
CORR
2008
Springer
95views Education» more  CORR 2008»
13 years 9 months ago
Explicit Learning: an Effort towards Human Scheduling Algorithms
Scheduling problems are generally NP-hard combinatorial problems, and a lot of research has been done to solve these problems heuristically. However, most of the previous approach...
Jingpeng Li, Uwe Aickelin
LOCA
2005
Springer
14 years 2 months ago
Issues and Requirements for Bayesian Approaches in Context Aware Systems
Research in advanced context-aware systems has clearly shown a need to capture the inherent uncertainty in the physical world, especially in human behavior. Modelling approaches th...
Michael Angermann, Patrick Robertson, Thomas Stran...