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ICPR
2002
IEEE
15 years 11 months ago
Motion Prediction Using VC-Generalization Bounds
This paper describes a novel application of Statistical Learning Theory (SLT) for motion prediction. SLT provides analytical VC-generalization bounds for model selection; these bo...
Harry Wechsler, Zoran Duric, Fayin Li, Vladimir Ch...
152
Voted
ICANN
2001
Springer
15 years 11 months ago
Learning and Prediction of the Nonlinear Dynamics of Biological Neurons with Support Vector Machines
Based on biological data we examine the ability of Support Vector Machines (SVMs) with gaussian kernels to learn and predict the nonlinear dynamics of single biological neurons. We...
Thomas Frontzek, Thomas Navin Lal, Rolf Eckmiller
ICANN
2001
Springer
15 years 11 months ago
Online Symbolic-Sequence Prediction with Discrete-Time Recurrent Neural Networks
This paper studies the use of discrete-time recurrent neural networks for predicting the next symbol in a sequence. The focus is on online prediction, a task much harder than the c...
Juan Antonio Pérez-Ortiz, Jorge Calera-Rubi...
HPCA
1996
IEEE
15 years 11 months ago
Predictive Sequential Associative Cache
In this paper, we propose a cache design that provides the same miss rate as a two-way set associative cache, but with a access time closer to a direct-mapped cache. As with other...
Brad Calder, Dirk Grunwald, Joel S. Emer
MICRO
1994
IEEE
118views Hardware» more  MICRO 1994»
15 years 10 months ago
Characterizing the impact of predicated execution on branch prediction
Branch instructions are recognized as a major impediment to exploiting instruction level parallelism. Even with sophisticated branch prediction techniques, many frequently execute...
Scott A. Mahlke, Richard E. Hank, Roger A. Bringma...