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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
15 years 8 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
CGO
2009
IEEE
15 years 6 months ago
Communication-Sensitive Static Dataflow for Parallel Message Passing Applications
Message passing is a very popular style of parallel programming, used in a wide variety of applications and supported by many APIs, such as BSD sockets, MPI and PVM. Its importance...
Greg Bronevetsky
VEE
2009
ACM
246views Virtualization» more  VEE 2009»
15 years 8 months ago
Tracing for web 3.0: trace compilation for the next generation web applications
Today’s web applications are pushing the limits of modern web browsers. The emergence of the browser as the platform of choice for rich client-side applications has shifted the ...
Mason Chang, Edwin W. Smith, Rick Reitmaier, Micha...
SIGGRAPH
1994
ACM
15 years 6 months ago
Spreadsheets for images
We describe a data visualization system based on spreadsheets. Cells in our spreadsheet contain graphical objects such as images, volumes, or movies. Cells may also contain widget...
Marc Levoy
GECCO
2009
Springer
128views Optimization» more  GECCO 2009»
15 years 8 months ago
Neural network ensembles for time series forecasting
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
Victor M. Landassuri-Moreno, John A. Bullinaria