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» Learning Behavior Models for Hybrid Timed Systems
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KDD
2008
ACM
159views Data Mining» more  KDD 2008»
16 years 1 months ago
Semi-supervised learning with data calibration for long-term time series forecasting
Many time series prediction methods have focused on single step or short term prediction problems due to the inherent difficulty in controlling the propagation of errors from one ...
Haibin Cheng, Pang-Ning Tan
SC
1995
ACM
15 years 4 months ago
Predicting Application Behavior in Large Scale Shared-memory Multiprocessors
In this paper we present an analytical-based framework for parallel program performance prediction. The main thrust of this work is to provide a means for treating realistic appli...
Karim Harzallah, Kenneth C. Sevcik
DATE
2003
IEEE
151views Hardware» more  DATE 2003»
15 years 6 months ago
Analysis and White-Box Modeling of Weakly Nonlinear Time-Varying Circuits
The architectural study of wireless communication systems typically requires simulations with high-level models for different analog and RF blocks. Among these blocks, frequency-t...
Petr Dobrovolný, Gerd Vandersteen, Piet Wam...
ENTCS
2006
142views more  ENTCS 2006»
15 years 22 days ago
Predicate Diagrams for the Verification of Real-Time Systems
We propose a format of predicate diagrams for the verification of real-time systems. We consider systems that are defined as extended timed graphs, a format that combines timed au...
Eun-Young Kang, Stephan Merz
LAMAS
2005
Springer
15 years 6 months ago
An Overview of Cooperative and Competitive Multiagent Learning
Abstract Multi-agent systems (MASs) is an area of distributed artificial intelligence that emphasizes the joint behaviors of agents with some degree of autonomy and the complexiti...
Pieter Jan't Hoen, Karl Tuyls, Liviu Panait, Sean ...