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ICML
2010
IEEE
13 years 6 months ago
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda
Temporal difference (TD) algorithms are attractive for reinforcement learning due to their ease-of-implementation and use of "bootstrapped" return estimates to make effi...
Carlton Downey, Scott Sanner
AAAI
2008
13 years 11 months ago
Generating Application-Specific Benchmark Models for Complex Systems
Automated generators for synthetic models and data can play a crucial role in designing new algorithms/modelframeworks, given the sparsity of benchmark models for empirical analys...
Jun Wang, Gregory M. Provan
ICCS
2007
Springer
14 years 2 months ago
AIMSS: An Architecture for Data Driven Simulations in the Social Sciences
Abstract. This paper presents a prototype implementation of an intelligent assistance architecture for data-driven simulation specialising in qualitative data in the social science...
Catriona Kennedy, Georgios K. Theodoropoulos, Volk...
KDD
1994
ACM
113views Data Mining» more  KDD 1994»
14 years 22 days ago
Exploration of Simulation Experiments by Discovery
: Weexemplify in this paper, howa discovery system is applied to the analysis of simulation experimentsin practical political planning, andshowwhatkind of newknowledgecan be discov...
Willi Klösgen
DAC
1996
ACM
14 years 24 days ago
Computing Parametric Yield Adaptively Using Local Linear Models
Abstract A divide-and-conquer algorithm for computing the parametric yield of large analog circuits is presented. The algorithm targets applications whose performance spreads could...
Mien Li, Linda S. Milor