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» A Portfolio Approach to Algorithm Selection
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112
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ICCD
2000
IEEE
135views Hardware» more  ICCD 2000»
16 years 18 days ago
A Methodology and Tool for Automated Transformational High-Level Design Space Exploration
el of abstraction by integrating a high-level estimation step. This results in a design loop which is tight led on high level of abstraction (called estimation loop in figure 1). ...
Joachim Gerlach, Wolfgang Rosenstiel
149
Voted
EWCBR
2008
Springer
15 years 5 months ago
Situation Assessment for Plan Retrieval in Real-Time Strategy Games
Case-Based Planning (CBP) is an effective technique for solving planning problems that has the potential to reduce the computational complexity of the generative planning approache...
Kinshuk Mishra, Santiago Ontañón, As...
106
Voted
IJON
2006
132views more  IJON 2006»
15 years 3 months ago
A binary neural decision table classifier
In this paper, we introduce a neural network -based decision table algorithm. We focus on the implementation details of the decision table algorithm when it is constructed using t...
Victoria J. Hodge, Simon O'Keefe, Jim Austin
139
Voted
CEC
2007
IEEE
15 years 5 months ago
Hybrid optimization using DIRECT, GA, and SQP for global exploration
— As there are many good optimization algorithms each with its own characteristics, it is very difficult to choose the best method for optimization problems. Thus, it is importa...
Satoru Hiwa, Tomoyuki Hiroyasu, Mitsunori Miki
171
Voted
JMLR
2012
13 years 6 months ago
Age-Layered Expectation Maximization for Parameter Learning in Bayesian Networks
The expectation maximization (EM) algorithm is a popular algorithm for parameter estimation in models with hidden variables. However, the algorithm has several non-trivial limitat...
Avneesh Singh Saluja, Priya Krishnan Sundararajan,...