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ICML
2010
IEEE
14 years 10 months ago
SVM Classifier Estimation from Group Probabilities
A learning problem that has only recently gained attention in the machine learning community is that of learning a classifier from group probabilities. It is a learning task that ...
Stefan Rüping
66
Voted
IPPS
2007
IEEE
15 years 3 months ago
A Comparison of Dag-Scheduling Strategies for Internet-Based Computing
A fundamental challenge in Internet computing (IC) is to efficiently schedule computations having complex interjob dependencies, given the unpredictability of remote machines, in...
Robert Hall, Arnold L. Rosenberg, Arun Venkatarama...
FOCI
2007
IEEE
15 years 4 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
ICALT
2006
IEEE
15 years 3 months ago
Adaptive e-Learning Methods and IMS Learning Design: An Integrated Approach
This position paper shows how several classical methods in adaptive learning can be addressed using IMS Learning Design. After a definition of four main questions to classify adap...
Daniel Burgos, Marcus Specht
AI
2007
Springer
14 years 9 months ago
Argument based machine learning
We present a novel approach to machine learning, called ABML (argumentation based ML). This approach combines machine learning from examples with concepts from the field of argum...
Martin Mozina, Jure Zabkar, Ivan Bratko