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ESANN
2001
15 years 5 months ago
Penalized least squares, model selection, convex hull classes and neural nets
We develop improved risk bounds for function estimation with models such as single hidden layer neural nets, using a penalized least squares criterion to select the size of the mod...
Gerald H. L. Cheang, Andrew R. Barron
FORMATS
2008
Springer
15 years 5 months ago
Parametric Model-Checking of Time Petri Nets with Stopwatches Using the State-Class Graph
Abstract. In this paper, we propose a new framework for the parametric verification of time Petri nets with stopwatches controlled by inhibitor arcs. We first introduce an extensio...
Louis-Marie Traonouez, Didier Lime, Olivier H. Rou...
ICSM
2009
IEEE
15 years 10 months ago
Modeling class cohesion as mixtures of latent topics
The paper proposes a new measure for the cohesion of classes in Object-Oriented software systems. It is based on the analysis of latent topics embedded in comments and identifiers...
Yixun Liu, Denys Poshyvanyk, Rudolf Ferenc, Tibor ...
PAKDD
2011
ACM
473views Data Mining» more  PAKDD 2011»
14 years 9 months ago
 Finding Rare Classes: Adapting Generative and Discriminative Models in Active Learning
Discovering rare categories and classifying new instances of them is an important data mining issue in many fields, but fully supervised learning of a rare class classifier is pr...
Timothy Hospedales, Shaogang Gong and Tao Xiang
169
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CVPR
2007
IEEE
16 years 6 months ago
Adaptive Patch Features for Object Class Recognition with Learned Hierarchical Models
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
Fabien Scalzo, Justus H. Piater