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» An Instance Selection Approach to Multiple Instance Learning
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CIKM
2010
Springer
14 years 8 months ago
Partial drift detection using a rule induction framework
The major challenge in mining data streams is the issue of concept drift, the tendency of the underlying data generation process to change over time. In this paper, we propose a g...
Damon Sotoudeh, Aijun An
AI
2011
Springer
14 years 5 months ago
A survey of motivation frameworks for intelligent systems
The ability to achieve one’s goals is a defining characteristic of intelligent behaviour. A great many existing theories, systems and research programmes address the problems a...
Nick Hawes
COLT
2008
Springer
14 years 11 months ago
Teaching Dimensions based on Cooperative Learning
The problem of how a teacher and a learner can cooperate in the process of learning concepts from examples in order to minimize the required sample size without “coding tricks...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
ECIR
2009
Springer
15 years 7 months ago
Active Sampling for Rank Learning via Optimizing the Area under the ROC Curve
Abstract. Learning ranking functions is crucial for solving many problems, ranging from document retrieval to building recommendation systems based on an individual user’s prefer...
Pinar Donmez, Jaime G. Carbonell
ILP
2004
Springer
15 years 3 months ago
Learning Ensembles of First-Order Clauses for Recall-Precision Curves: A Case Study in Biomedical Information Extraction
Many domains in the field of Inductive Logic Programming (ILP) involve highly unbalanced data. Our research has focused on Information Extraction (IE), a task that typically invol...
Mark Goadrich, Louis Oliphant, Jude W. Shavlik