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» Evaluating the Impact of Coder Errors on Active Learning
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PAKDD
2010
ACM
212views Data Mining» more  PAKDD 2010»
15 years 2 months ago
Fast Perceptron Decision Tree Learning from Evolving Data Streams
Abstract. Mining of data streams must balance three evaluation dimensions: accuracy, time and memory. Excellent accuracy on data streams has been obtained with Naive Bayes Hoeffdi...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...
SIGCSE
2004
ACM
125views Education» more  SIGCSE 2004»
15 years 3 months ago
Agent-based cooperative learning: a proof-of-concept experiment
This paper presents an innovative multiagent system to support cooperative learning among students both in the real classrooms and in distance education. The system, called I-MIND...
Leen-Kiat Soh, Hong Jiang, Charles Ansorge
85
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WSDM
2010
ACM
245views Data Mining» more  WSDM 2010»
15 years 7 months ago
Improving Quality of Training Data for Learning to Rank Using Click-Through Data
In information retrieval, relevance of documents with respect to queries is usually judged by humans, and used in evaluation and/or learning of ranking functions. Previous work ha...
Jingfang Xu, Chuanliang Chen, Gu Xu, Hang Li, Elbi...
ISCA
2006
IEEE
138views Hardware» more  ISCA 2006»
15 years 3 months ago
Learning-Based SMT Processor Resource Distribution via Hill-Climbing
The key to high performance in Simultaneous Multithreaded (SMT) processors lies in optimizing the distribution of shared resources to active threads. Existing resource distributio...
Seungryul Choi, Donald Yeung
SIGCSE
1998
ACM
99views Education» more  SIGCSE 1998»
15 years 1 months ago
The ExCon project: advocating continuous examination
In this paper it is claimed that traditional examination often is destructive to the process of learning. It does not matter how good intentions educators have, it is the way they...
Urban Nuldén