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ECML
2007
Springer
16 years 23 days ago
Analyzing Co-training Style Algorithms
Co-training is a semi-supervised learning paradigm which trains two learners respectively from two different views and lets the learners label some unlabeled examples for each oth...
Wei Wang, Zhi-Hua Zhou
MLMI
2007
Springer
16 years 22 days ago
Gaussian Process Latent Variable Models for Human Pose Estimation
We describe a method for recovering 3D human body pose from silhouettes. Our model is based on learning a latent space using the Gaussian Process Latent Variable Model (GP-LVM) [1]...
Carl Henrik Ek, Philip H. S. Torr, Neil D. Lawrenc...
ICALT
2005
IEEE
16 years 6 days ago
Creating Reusable WebQuest Objects with WebQuest Authoring Engine
WebQuest is a constructivist lesson format for webenabled inquiry-based learning. A WebQuest exists in form of a Web site that contains a collection of Web pages. In this paper, w...
Yuen-Yan Chan
ICALT
2005
IEEE
16 years 6 days ago
A System Designed to Support Formative Assessment of Open-Ended Written Assignments
This paper introduces the MarkTool System – a software system designed to support formative assessment of open-ended written assignments. The MarkTool System brings together ser...
Jun Zhang, Eva Heinrich
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
16 years 4 days ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett