3050 search results - page 285 / 610 » On-line Algorithms in Machine Learning |
181
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KDD
2007
ACM
16 years 5 months ago
2007
ACM
A wide variety of machine learning problems can be described as minimizing a regularized risk functional, with different algorithms using different notions of risk and different r...
138
Voted
ECML
2007
Springer
15 years 11 months ago
2007
Springer
Boosting is a simple yet powerful modeling technique that is used in many machine learning and data mining related applications. In this paper, we propose a novel scale-space based...
157
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ACIVS
2006
Springer
15 years 8 months ago
2006
Springer
We address the topic of real-time analysis and recognition of silhouettes. The method that we propose first produces object features obtained by a new type of morphological operato...
119
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ICMLA
2008
15 years 6 months ago
2008
When using machine learning for in silico modeling, the goal is normally to obtain highly accurate predictive models. Often, however, models should also bring insights into intere...
129
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COLT
2010
Springer
15 years 2 months ago
2010
Springer
Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...