992 search results - page 104 / 199 » Evolutionary Learning Using a Sensitivity-Accuracy Approach ... |
130
Voted
ML
2000
ACM
15 years 2 months ago
2000
ACM
This paper discusses a novel distributed adaptive algorithm and representation used to construct populations of adaptive Web agents. These InfoSpiders browse networked information ...
107
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NIPS
2001
15 years 3 months ago
2001
In this paper we introduce a new sparseness inducing prior which does not involve any (hyper)parameters that need to be adjusted or estimated. Although other applications are poss...
131
Voted
TSE
2008
15 years 2 months ago
2008
This paper introduces a new technique for predicting latent software bugs, called change classification. Change classification uses a machine learning classifier to determine wheth...
110
Voted
IWVF
2001
Springer
15 years 6 months ago
2001
Springer
In the framework of an evolutionary approach to machine learning, this paper presents the preliminary version of a learning system that uses Genetic Programming as a tool for autom...
110
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KDD
2004
ACM
16 years 2 months ago
2004
ACM
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...