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JAIR
2000
102views more  JAIR 2000»
15 years 2 months ago
A Model of Inductive Bias Learning
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
Jonathan Baxter
123
Voted
ICIP
2009
IEEE
15 years 10 days ago
Model based analysis for quantization parameter cascading in hierarchical video coding
Originally, the hierarchical coding structure was proposed to achieve temporal scalability. Soon after, it was realized that with a proper quantization parameter cascading (QPC) s...
Xiang Li, Peter Amon, Andreas Hutter, André...
134
Voted
ICMCS
2009
IEEE
183views Multimedia» more  ICMCS 2009»
15 years 10 days ago
Modeling the tele-immersive systems using stochastic activity network
The next-generation social communication medium, teleimmersion, is receiving increasing attention from both the research and industrial communities. It enables interaction between...
Rahul Malik, Wanmin Wu, Klara Nahrstedt
168
Voted
SIGOPS
2010
179views more  SIGOPS 2010»
14 years 9 months ago
Online cache modeling for commodity multicore processors
Modern chip-level multiprocessors (CMPs) contain multiple processor cores sharing a common last-level cache, memory interconnects, and other hardware resources. Workloads running ...
Richard West, Puneet Zaroo, Carl A. Waldspurger, X...
133
Voted
COREGRID
2007
Springer
15 years 8 months ago
Total Exchange Performance Prediction on Grid Environments
One of the most important collective communication patterns used in scientific applications is the complete exchange, also called All-to-All. Although efficient algorithms have b...
Luiz Angelo Steffenel, Emmanuel Jeannot