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» Online Experiments: Lessons Learned
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NIPS
2003
13 years 10 months ago
Online Passive-Aggressive Algorithms
We present a family of margin based online learning algorithms for various prediction tasks. In particular we derive and analyze algorithms for binary and multiclass categorizatio...
Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yor...
ECIS
2000
13 years 10 months ago
Web-Based Learning: Aspects of Cultural Differences
This paper examines the question: How do cultural differences influence students' perceptions of Web-based learning? Research on cultural differences by Hofstede [1] [2] is us...
C. Bauer, Kum Leng Chin, Vanessa Chang
JMLR
2010
130views more  JMLR 2010»
13 years 3 months ago
MOA: Massive Online Analysis, a Framework for Stream Classification and Clustering
Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA is designed to deal...
Albert Bifet, Geoff Holmes, Bernhard Pfahringer, P...
ETS
2002
IEEE
153views Hardware» more  ETS 2002»
13 years 8 months ago
Overcoming Social and Psychological Barriers to Effective On-line Collaboration
Research suggests that collaboration in an on-line course can enhance learning, reduce feelings of isolation, increase satisfaction with the course, and increase motivation. Unfor...
Sandra C. Hughes, Leah Wickersham, David L. Ryan-J...
CVPR
2010
IEEE
14 years 2 months ago
Visual Tracking via Weakly Supervised Learning from Multiple Imperfect Oracles
Long-term persistent tracking in ever-changing environments is a challenging task, which often requires addressing difficult object appearance update problems. To solve them, most...
Bineng Zhong, Hongxun Yao, Sheng Chen, Xiaotong Yu...