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» A Bayesian Metric for Evaluating Machine Learning Algorithms
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ESWS
2008
Springer
14 years 11 months ago
The Creation and Evaluation of iSPARQL Strategies for Matchmaking
Abstract. This research explores a new method for Semantic Web service matchmaking based on iSPARQL strategies, which enables to query the Semantic Web with techniques from traditi...
Christoph Kiefer, Abraham Bernstein
ICDM
2006
IEEE
226views Data Mining» more  ICDM 2006»
15 years 3 months ago
Converting Output Scores from Outlier Detection Algorithms into Probability Estimates
Current outlier detection schemes typically output a numeric score representing the degree to which a given observation is an outlier. We argue that converting the scores into wel...
Jing Gao, Pang-Ning Tan
ICML
2010
IEEE
14 years 11 months ago
Budgeted Nonparametric Learning from Data Streams
We consider the problem of extracting informative exemplars from a data stream. Examples of this problem include exemplarbased clustering and nonparametric inference such as Gauss...
Ryan Gomes, Andreas Krause
IJCNN
2000
IEEE
15 years 2 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
INFOCOM
2010
IEEE
14 years 8 months ago
Distributed Algorithms for Approximating Wireless Network Capacity
—In this paper we consider the problem of maximizing wireless network capacity (a.k.a. one-shot scheduling) in both the protocol and physical models. We give the first distribut...
Michael Dinitz