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» Multiagent learning using a variable learning rate
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151
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BMCBI
2006
169views more  BMCBI 2006»
15 years 5 months ago
Machine learning techniques in disease forecasting: a case study on rice blast prediction
Background: Diverse modeling approaches viz. neural networks and multiple regression have been followed to date for disease prediction in plant populations. However, due to their ...
Rakesh Kaundal, Amar S. Kapoor, Gajendra P. S. Rag...
137
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ICONIP
2008
15 years 6 months ago
An Evaluation of Machine Learning-Based Methods for Detection of Phishing Sites
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
Daisuke Miyamoto, Hiroaki Hazeyama, Youki Kadobaya...
MICAI
2005
Springer
15 years 10 months ago
Fuzzeval: A Fuzzy Controller-Based Approach in Adaptive Learning for Backgammon Game
Abstract. In this paper we investigate the effectiveness of applying fuzzy controllers to create strong computer player programs in the domain of backgammon. Fuzzeval, our proposed...
Mikael Heinze, Daniel Ortiz Arroyo, Henrik Legind ...
123
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ACL
2006
15 years 6 months ago
Learning to Say It Well: Reranking Realizations by Predicted Synthesis Quality
This paper presents a method for adapting a language generator to the strengths and weaknesses of a synthetic voice, thereby improving the naturalness of synthetic speech in a spo...
Crystal Nakatsu, Michael White
ICASSP
2011
IEEE
14 years 8 months ago
Compressed learning of high-dimensional sparse functions
This paper presents a simple randomised algorithm for recovering high-dimensional sparse functions, i.e. functions f : [0, 1]d → R which depend effectively only on k out of d va...
Karin Schnass, Jan Vybíral