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ICDE
2004
IEEE
148views Database» more  ICDE 2004»
16 years 3 months ago
Approximate Selection Queries over Imprecise Data
We examine the problem of evaluating selection queries over imprecisely represented objects. Such objects are used either because they are much smaller in size than the precise on...
Iosif Lazaridis, Sharad Mehrotra
103
Voted
GECCO
2004
Springer
15 years 8 months ago
Validating a Model of Colon Colouration Using an Evolution Strategy with Adaptive Approximations
The colour of colon tissue, which depends on the tissue structure, its optical properties, and the quantities of the pigments present in it, can be predicted by a physics-based mod...
Dzena Hidovic, Jonathan E. Rowe
120
Voted
SSDBM
2000
IEEE
128views Database» more  SSDBM 2000»
15 years 7 months ago
Supporting Content-Based Searches on Time Series via Approximation
Fast retrieval of time series in terms of their contents is important in many application domains. This paper studies database techniques supporting fast searches for time series ...
Changzhou Wang, Xiaoyang Sean Wang
137
Voted
SIGMETRICS
2000
ACM
105views Hardware» more  SIGMETRICS 2000»
15 years 7 months ago
Using the exact state space of a Markov model to compute approximate stationary measures
We present a new approximation algorithm based on an exact representation of the state space S, using decision diagrams, and of the transition rate matrix R, using Kronecker algeb...
Andrew S. Miner, Gianfranco Ciardo, Susanna Donate...
115
Voted
NIPS
2008
15 years 4 months ago
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Most algorithms for solving Markov decision processes rely on a discount factor, which ensures their convergence. It is generally assumed that using an artificially low discount f...
Marek Petrik, Bruno Scherrer