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» Learning and Generalization with the Information Bottleneck
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150
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CVPR
2009
IEEE
1942views Computer Vision» more  CVPR 2009»
16 years 5 months ago
Learning Similarity Measure for Multi-Modal 3D Image Registration
Multi-modal image registration is a challenging problem in medical imaging. The goal is to align anatomically identical structures; however, their appearance in images acquired wit...
Bernhard Schölkopf, Daewon Lee, Florian Stein...
72
Voted
IUI
2009
ACM
15 years 7 months ago
Fixing the program my computer learned: barriers for end users, challenges for the machine
The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it mat...
Todd Kulesza, Weng-Keen Wong, Simone Stumpf, Steph...
CIKM
2007
Springer
15 years 4 months ago
Developing learning strategies for topic-based summarization
Most up-to-date well-behaved topic-based summarization systems are built upon the extractive framework. They score the sentences based on the associated features by manually assig...
Ouyang You, Sujian Li, Wenjie Li
SIGCSE
2006
ACM
201views Education» more  SIGCSE 2006»
15 years 4 months ago
Everything I needed to know about teaching I learned in kindergarten: bringing elementary education techniques to undergraduate
By expanding the teaching styles used in computer science classrooms, we can expand the audience of students that enjoy and excel in technology. Rather than focusing on major curr...
Shannon Pollard, Robert C. Duvall
AI
1998
Springer
15 years 2 months ago
A Hybrid Convergent Method for Learning Probabilistic Networks
During past few years, a variety of methods have been developed for learning probabilistic networks from data, among which the heuristic single link forward or backward searches ar...
Jun Liu, Kuo-Chu Chang, Jing Zhou