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NIPS
1994
13 years 6 months ago
Catastrophic Interference in Human Motor Learning
Biological sensorimotor systems are not static maps that transform input sensory information into output motor behavior. Evidence from many lines of research suggests that their r...
Tom Brashers-Krug, Reza Shadmehr, Emanuel Todorov
AI
1998
Springer
13 years 5 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
LCTRTS
2007
Springer
13 years 11 months ago
Integrated CPU and l2 cache voltage scaling using machine learning
Embedded systems serve an emerging and diverse set of applications. As a result, more computational and storage capabilities are added to accommodate ever more demanding applicati...
Nevine AbouGhazaleh, Alexandre Ferreira, Cosmin Ru...
ACSAC
2009
IEEE
14 years 3 days ago
Scalable Web Content Attestation
—The web is a primary means of information sharing for most organizations and people. Currently, a recipient of web content knows nothing about the environment in which that info...
Thomas Moyer, Kevin R. B. Butler, Joshua Schiffman...
MDM
2009
Springer
150views Communications» more  MDM 2009»
13 years 12 months ago
Perimeter-Based Data Replication in Mobile Sensor Networks
—This paper assumes a set of n mobile sensors that move in the Euclidean plane as a swarm. Our objectives are to explore a given geographic region by detecting spatio-temporal ev...
Panayiotis Andreou, Demetrios Zeinalipour-Yazti, M...