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» Active Learning for Pipeline Models
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DATE
2006
IEEE
89views Hardware» more  DATE 2006»
14 years 1 months ago
Automatic insertion of low power annotations in RTL for pipelined microprocessors
We propose instruction-driven slicing, a new technique for annotating microprocessor descriptions at the Register Transfer Level (RTL) in order to achieve lower power dissipation....
Vinod Viswanath, Jacob A. Abraham, Warren A. Hunt ...
LCN
2003
IEEE
14 years 1 months ago
Pipelining and Overlapping for MPI Collective Operations
Collective operations are an important aspect of the currently most important message-passing programming model MPI (Message Passing Interface). Many MPI applications make heavy u...
Joachim Worringen
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
14 years 2 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
SDM
2008
SIAM
144views Data Mining» more  SDM 2008»
13 years 9 months ago
Active Learning with Model Selection in Linear Regression
Optimally designing the location of training input points (active learning) and choosing the best model (model selection) are two important components of supervised learning and h...
Masashi Sugiyama, Neil Rubens
CVPR
2006
IEEE
14 years 10 months ago
The Function Space of an Activity
An activity consists of an actor performing a series of actions in a pre-defined temporal order. An action is an individual atomic unit of an activity. Different instances of the ...
Ashok Veeraraghavan, Amit K. Roy Chowdhury