By Sharon R. Berry
Born out of a long time of school room event, this necessary source presents academics with a large choice of sensible school room administration and self-discipline suggestions.
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Particles accelerate to higher energies by scattering oÝ magnetic irregularities on both sides of the shock front (right ). Accelerated particles deßect inward and are detected as anomalous cosmic rays. inate just beyond the termination shock and, along with the anomalous cosmic rays, provide tantalizing information about this vast unexplored frontier. As the Pioneer and Voyager space probes speed farther and farther from the sun, there is an increasing likelihood that they will soon encounter the termination shock.
If one knows enough about a given application to oÝer hints, why bother with machine learning in the Þrst place? Why not employ this knowledge to design a specialized machine for the job? In some instances one can do so, but the fact of the matter is that usually too little is known about a problem to specify a method for its solution according to a well-deÞned set of rules. Applications range between two extremes: structured problems that are totally deÞned and require no examples, and random problems that are completely undeÞned and depend entirely on training examples for their solution.
The goal in machine learning is to make the machine emulate the target function, the desired mapping of inputs to outputs. We can use training examples from the target function to guide the selection of values for the machineÕs free parameters. With each example, the machine reÞnes its internal settings so that it matches the Copyright 1995 Scientific American, Inc. DAN WAGNER CAN YOU SOLVE IT ? These objects have been sorted into two classes, indicated by either a blue or brown border. Which characteristic distinguishes them?