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NC
2006
132views Neural Networks» more  NC 2006»
13 years 7 months ago
Learning short multivariate time series models through evolutionary and sparse matrix computation
Multivariate Time Series (MTS) data are widely available in different fields including medicine, finance, bioinformatics, science and engineering. Modelling MTS data accurately is...
Stephen Swift, Joost N. Kok, Xiaohui Liu
AAMAS
2005
Springer
13 years 7 months ago
Efficient Management of Multi-Linked Negotiation Based on a Formalized Model
A Multi-linked negotiation problem occurs when an agent needs to negotiate with multiple other agents about different subjects (tasks, conflicts, or resource requirements), and th...
Xiaoqin Zhang, Victor R. Lesser, Sherief Abdallah
AIR
2005
114views more  AIR 2005»
13 years 7 months ago
Airport Gate Scheduling with Time Windows
In contrast to the existing airport gate assignment studies where flight have fixed schedules, we consider the more realistic situation where flight arrival and departure times can...
Andrew Lim, Brian Rodrigues, Yi Zhu
KBS
2007
56views more  KBS 2007»
13 years 7 months ago
Domain-dependent distributed models for railway scheduling
Many combinatorial problems can be modelled as Constraint Satisfaction Problems (CSPs). Solving a general CSP is known to be NP-complete, so closure and heuristic search are usual...
Miguel A. Salido, Montserrat Abril, Federico Barbe...
MICRO
2002
IEEE
121views Hardware» more  MICRO 2002»
13 years 7 months ago
Convergent scheduling
Convergent scheduling is a general framework for instruction scheduling and cluster assignment for parallel, clustered architectures. A convergent scheduler is composed of many ind...
Walter Lee, Diego Puppin, Shane Swenson, Saman P. ...