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 ...
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...
— 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...
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...
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...