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» Evaluating learning algorithms and classifiers
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102
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ECML
2006
Springer
15 years 4 months ago
Fisher Kernels for Relational Data
Abstract. Combining statistical and relational learning receives currently a lot of attention. The majority of statistical relational learning approaches focus on density estimatio...
Uwe Dick, Kristian Kersting
EVOW
2009
Springer
15 years 7 months ago
Evolutionary Optimization Guided by Entropy-Based Discretization
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
Guleng Sheri, David W. Corne
110
Voted
ICDM
2005
IEEE
122views Data Mining» more  ICDM 2005»
15 years 6 months ago
Learning through Changes: An Empirical Study of Dynamic Behaviors of Probability Estimation Trees
In practice, learning from data is often hampered by the limited training examples. In this paper, as the size of training data varies, we empirically investigate several probabil...
Kun Zhang, Zujia Xu, Jing Peng, Bill P. Buckles
101
Voted
ATAL
2005
Springer
15 years 6 months ago
Evaluating the Minority Game strategy in agent role assignments
A team-based competitive environment is a complex multiagent environment, in which agents are required to coordinate with each other not only to enhance their collective behavior,...
Tingting Wang, Jiming Liu
75
Voted
IJCNN
2000
IEEE
15 years 5 months ago
Design and Evaluation of Neural Networks for Coin Recognition by Using GA and SA
In this paper, we propose a method to design a neural network(NN) by using a genetic algorithm(GA) and simulated annealing(SA). And also, in order to demonstrate the effectivenes...
Yasue Mitsukura, Minoru Fukumi, Norio Akamatsu