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» An Instance Selection Approach to Multiple Instance Learning
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ENGL
2007
180views more  ENGL 2007»
14 years 9 months ago
Biological Data Mining for Genomic Clustering Using Unsupervised Neural Learning
— The paper aims at designing a scheme for automatic identification of a species from its genome sequence. A set of 64 three-tuple keywords is first generated using the four type...
Shreyas Sen, Seetharam Narasimhan, Amit Konar
PPSN
2004
Springer
15 years 3 months ago
Evolutionary Multi-agent Systems
In Multi-Agent learning, agents must learn to select actions that maximize their utility given the action choices of the other agents. Cooperative Coevolution offers a way to evol...
Pieter Jan't Hoen, Edwin D. de Jong
CIDM
2009
IEEE
15 years 4 months ago
Diversity analysis on imbalanced data sets by using ensemble models
— Many real-world applications have problems when learning from imbalanced data sets, such as medical diagnosis, fraud detection, and text classification. Very few minority clas...
Shuo Wang, Xin Yao
VL
2009
IEEE
128views Visual Languages» more  VL 2009»
15 years 4 months ago
Improving API documentation using API usage information
Jadeite is a new Javadoc-like API documentation system that takes advantage of multiple users’ aggregate experience to reduce difficulties that programmers have learning new API...
Jeffrey Stylos, Andrew Faulring, Zizhuang Yang, Br...
SACMAT
2004
ACM
15 years 3 months ago
Implementing access control to people location information
Ubiquitous computing uses a variety of information for which access needs to be controlled. For instance, a person’s current location is a sensitive piece of information, which ...
Urs Hengartner, Peter Steenkiste