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» The Measurable Space of Stochastic Processes
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PE
2010
Springer
135views Optimization» more  PE 2010»
14 years 4 months ago
Performance evaluation of component-based software systems: A survey
Performance prediction and measurement approaches for component-based software systems help software architects to evaluate their systems based on component performance specificat...
Heiko Koziolek
CVPR
2006
IEEE
15 years 11 months ago
The Bottleneck Geodesic: Computing Pixel Affinity
A meaningful affinity measure between pixels is essential for many computer vision and image processing applications. We propose an algorithm that works in the features' hist...
Ido Omer, Michael Werman
AAAI
2008
15 years 4 days ago
Perpetual Learning for Non-Cooperative Multiple Agents
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
Luke Dickens
CDC
2009
IEEE
147views Control Systems» more  CDC 2009»
15 years 2 months ago
A simulation-based method for aggregating Markov chains
— This paper addresses model reduction for a Markov chain on a large state space. A simulation-based framework is introduced to perform state aggregation of the Markov chain base...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
VALUETOOLS
2006
ACM
164views Hardware» more  VALUETOOLS 2006»
15 years 3 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