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» Approximate Learning of Dynamic Models
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ECML
1993
Springer
15 years 10 months ago
Complexity Dimensions and Learnability
In machine learning theory, problem classes are distinguished because of di erences in complexity. In 6 , a stochastic model of learning from examples was introduced. This PAClear...
Shan-Hwei Nienhuys-Cheng, Mark Polman
CSEE
2006
Springer
15 years 10 months ago
SimVBSE: Developing a Game for Value-Based Software Engineering
The development of games in aid of improving and enriching a student's learning experience is again on the rise. The beer game [6] in the field of system dynamics was develop...
Apurva Jain, Barry W. Boehm
ATAL
2005
Springer
15 years 11 months ago
Rapid on-line temporal sequence prediction by an adaptive agent
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...
Steven Jensen, Daniel Boley, Maria L. Gini, Paul R...
AB
2007
Springer
16 years 13 days ago
Algorithmic Algebraic Model Checking IV: Characterization of Metabolic Networks
A series of papers, all under the title of Algorithmic Algebraic Model Checking (AAMC), has sought to combine techniques from algorithmic algebra, model checking and dynamical syst...
Venkatesh Mysore, Bud Mishra
CISS
2007
IEEE
15 years 10 months ago
Channel-Adaptive Optimal OFDMA Scheduling
Abstract-Joint subcarrier, power and rate allocation in orthogonal frequency division multiple access (OFDMA) scheduling is investigated for both downlink and uplink wireless trans...
Xin Wang, Georgios B. Giannakis, Yingqun Yu