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VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
15 years 6 months ago
Analysis of Markov reward models using zero-suppressed multi-terminal BDDs
High-level stochastic description methods such as stochastic Petri nets, stochastic UML statecharts etc., together with specifications of performance variables (PVs), enable a co...
Kai Lampka, Markus Siegle
ISCA
2000
IEEE
107views Hardware» more  ISCA 2000»
15 years 5 months ago
A fully associative software-managed cache design
As DRAM access latencies approach a thousand instructionexecution times and on-chip caches grow to multiple megabytes, it is not clear that conventional cache structures continue ...
Erik G. Hallnor, Steven K. Reinhardt
89
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BMCBI
2007
108views more  BMCBI 2007»
15 years 22 days ago
Publishing perishing? Towards tomorrow's information architecture
Scientific articles are tailored to present information in human-readable aliquots. Although the Internet has revolutionized the way our society thinks about information, the trad...
Michael R. Seringhaus, Mark B. Gerstein
98
Voted
ICCV
2003
IEEE
16 years 2 months ago
Discriminative Random Fields: A Discriminative Framework for Contextual Interaction in Classification
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
Sanjiv Kumar, Martial Hebert
ICML
2005
IEEE
16 years 1 months ago
Proto-value functions: developmental reinforcement learning
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
Sridhar Mahadevan