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HIPC
2005
Springer
15 years 9 months ago
Preemption Adaptivity in Time-Published Queue-Based Spin Locks
Abstract. The proliferation of multiprocessor servers and multithreaded applications has increased the demand for high-performance synchronization. Traditional scheduler-based lock...
Bijun He, William N. Scherer III, Michael L. Scott
ECCV
2010
Springer
15 years 8 months ago
Learning Pre-attentive Driving Behaviour from Holistic Visual Features
Abstract. The aim of this paper is to learn driving behaviour by associating the actions recorded from a human driver with pre-attentive visual input, implemented using holistic im...
116
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DAGSTUHL
2003
15 years 5 months ago
Maximizing Learning Progress: An Internal Reward System for Development
This chapter presents a generic internal reward system that drives an agent to increase the complexity of its behavior. This reward system does not reinforce a predefined task. It...
Frédéric Kaplan, Pierre-Yves Oudeyer
NPL
2000
88views more  NPL 2000»
15 years 3 months ago
Learning Synaptic Clusters for Nonlinear Dendritic Processing
Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a mod...
Michael W. Spratling, Gillian Hayes
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 8 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass