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PAKDD
2011
ACM
245views 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 M. Hospedales, Shaogang Gong, Tao Xiang
ICDM
2009
IEEE
160views Data Mining» more  ICDM 2009»
16 years 1 months ago
Fast Online Training of Ramp Loss Support Vector Machines
—A fast online algorithm OnlineSVMR for training Ramp-Loss Support Vector Machines (SVMR s) is proposed. It finds the optimal SVMR for t+1 training examples using SVMR built on t...
Zhuang Wang, Slobodan Vucetic
AIED
2005
Springer
16 years 7 days ago
Teaching about Dynamic Processes A Teachable Agents Approach
This paper discusses the extensions that we have made to Betty’s Brain teachable agent system to help students learn about dynamic processes in a river ecosystem. Students first ...
Ruchi Gupta, Yanna Wu, Gautam Biswas
AIRS
2004
Springer
16 years 3 days ago
A Bootstrapping Approach for Geographic Named Entity Annotation
Abstract. Geographic named entities can be classified into many subtypes that are useful for applications such as information extraction and question answering. In this paper, we ...
Seungwoo Lee, Gary Geunbae Lee
ICCV
1999
IEEE
15 years 11 months ago
A Subset Approach to Contour Tracking in Clutter
A new method for tracking contours of moving objects in clutter is presented. For a given object, a model of its contours is learned from training data in the form of a subset of ...
Daniel Freedman, Michael S. Brandstein