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JMLR
2010
157views more  JMLR 2010»
15 years 1 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
MMM
2008
Springer
158views Multimedia» more  MMM 2008»
16 years 1 months ago
Similarity Search in Multimedia Time Series Data Using Amplitude-Level Features
Effective similarity search in multi-media time series such as video or audio sequences is important for content-based multi-media retrieval applications. We propose a framework th...
Johannes Aßfalg, Hans-Peter Kriegel, Peer Kr...
CORR
2010
Springer
71views Education» more  CORR 2010»
15 years 6 months ago
Sampled Semantics of Timed Automata
Sampled semantics of timed automata is a nite approximation of their dense time behavior. While the former is closer to the actual software or hardware systems ed granularity of ti...
Parosh Aziz Abdulla, Pavel Krcál, Wang Yi
CAV
2005
Springer
144views Hardware» more  CAV 2005»
16 years 6 days ago
Romeo: A Tool for Analyzing Time Petri Nets
In this paper, we present the features of Romeo, a Time Petri Net (TPN) analyzer. The tool Romeo allows state space computation of TPN and on-the-fly model-checking of reachabilit...
Guillaume Gardey, Didier Lime, Morgan Magnin, Oliv...
GECCO
2004
Springer
16 years 2 days ago
Bounding Learning Time in XCS
It has been shown empirically that the XCS classifier system solves typical classification problems in a machine learning competitive way. However, until now, no learning time es...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi