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» On Kernel Methods for Relational Learning
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EDM
2008
97views Data Mining» more  EDM 2008»
13 years 10 months ago
Using Item-type Performance Covariance to Improve the Skill Model of an Existing Tutor
Using data from an existing pre-algebra computer-based tutor, we analyzed the covariance of item-types with the goal of describing a more effective way to assign skill labels to it...
Philip I. Pavlik, Hao Cen, Lili Wu, Kenneth R. Koe...
NIPS
2008
13 years 10 months ago
Natural Image Denoising with Convolutional Networks
We present an approach to low-level vision that combines two main ideas: the use of convolutional networks as an image processing architecture and an unsupervised learning procedu...
Viren Jain, H. Sebastian Seung
ICDM
2003
IEEE
210views Data Mining» more  ICDM 2003»
14 years 2 months ago
CBC: Clustering Based Text Classification Requiring Minimal Labeled Data
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...
Hua-Jun Zeng, Xuanhui Wang, Zheng Chen, Hongjun Lu...
ICIAP
2009
ACM
14 years 1 months ago
Applying Visual Object Categorization and Memory Colors for Automatic Color Constancy
This paper presents a framework for using high-level visual information to enhance the performance of automatic color constancy algorithms. The approach is based on recognizing spe...
Esa Rahtu, Jarno Nikkanen, Juho Kannala, Leena Lep...
IFIP
2001
Springer
14 years 1 months ago
Cultivating Recalcitrance in Information Systems Research
There is an ongoing debate about how to improve the quality of empirical research efforts in information systems. One of the persistent issues within the debate concerns the relat...
Carsten Sørensen, Edgar A. Whitley, Shirin ...