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» Using Gaussian Processes to Optimize Expensive Functions
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ADBIS
2008
Springer
90views Database» more  ADBIS 2008»
13 years 9 months ago
An Advanced Transaction Model for Recovery Processing of Integration Processes
Integration processes are increasingly used in order to integrate distributed and heterogeneous systems. Although transactional behavior of workflows has been discussed extensively...
Matthias Böhm, Dirk Habich, Wolfgang Lehner, ...
VLSISP
2008
100views more  VLSISP 2008»
13 years 7 months ago
Memory-constrained Block Processing for DSP Software Optimization
Digital signal processing (DSP) applications involve processing long streams of input data. It is important to take into account this form of processing when implementing embedded ...
Ming-Yung Ko, Chung-Ching Shen, Shuvra S. Bhattach...
ICIP
2006
IEEE
14 years 1 months ago
Discontinuity-Adaptive De-Interlacing Scheme Using Markov Random Field Model
— In this paper, a de-interlacing algorithm to find the optimal deinterlaced results given accuracy-limited motion information is proposed. The de-interlacing process is formula...
Min Li, Truong Q. Nguyen
AAAI
2006
13 years 9 months ago
Learning Basis Functions in Hybrid Domains
Markov decision processes (MDPs) with discrete and continuous state and action components can be solved efficiently by hybrid approximate linear programming (HALP). The main idea ...
Branislav Kveton, Milos Hauskrecht
TOMACS
2002
113views more  TOMACS 2002»
13 years 7 months ago
Simulating heavy tailed processes using delayed hazard rate twisting
Consider the problem of estimating the small probability that the maximum of a random walk exceeds a large threshold, when the process has a negative drift and the underlying rand...
Sandeep Juneja, Perwez Shahabuddin