135,671 research outputs found

    PointMap: A real-time memory-based learning system with on-line and post-training pruning

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    Also published in the International Journal of Hybrid Intelligent Systems, Volume 1, January, 2004A memory-based learning system called PointMap is a simple and computationally efficient extension of Condensed Nearest Neighbor that allows the user to limit the number of exemplars stored during incremental learning. PointMap evaluates the information value of coding nodes during training, and uses this index to prune uninformative nodes either on-line or after training. These pruning methods allow the user to control both a priori code size and sensitivity to detail in the training data, as well as to determine the code size necessary for accurate performance on a given data set. Coding and pruning computations are local in space, with only the nearest coded neighbor available for comparison with the input; and in time, with only the current input available during coding. Pruning helps solve common problems of traditional memory-based learning systems: large memory requirements, their accompanying slow on-line computations, and sensitivity to noise. PointMap copes with the curse of dimensionality by considering multiple nearest neighbors during testing without increasing the complexity of the training process or the stored code. The performance of PointMap is compared to that of a group of sixteen nearest-neighbor systems on benchmark problems.This research was supported by grants from the Air Force Office of Scientific Research (AFOSR F49620-98-l-0108, F49620-0l-l-0397, and F49620-0l-l-0423) and the Office of Naval Research (ONR N00014-0l-l-0624)

    Polar Coding for the Large Hadron Collider: Challenges in Code Concatenation

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    In this work, we present a concatenated repetition-polar coding scheme that is aimed at applications requiring highly unbalanced unequal bit-error protection, such as the Beam Interlock System of the Large Hadron Collider at CERN. Even though this concatenation scheme is simple, it reveals significant challenges that may be encountered when designing a concatenated scheme that uses a polar code as an inner code, such as error correlation and unusual decision log-likelihood ratio distributions. We explain and analyze these challenges and we propose two ways to overcome them.Comment: Presented at the 51st Asilomar Conference on Signals, Systems, and Computers, November 201

    Family Interaction Styles of Children with Depressive Disorders, Schizophrenia-Spectrum Disorders, and Normal Controls

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    Family interaction processes during a problem-solving task were examined in children with depressive disorders, children with schizophrenia-spectrum disorders, and a normal control group of community children screened for the absence of psychiatric disorder. Major findings were: a) children with depressive disorders were more likely than children with schizophrenia-spectrum disorders and children with no psychiatric disorder to direct guilt-inducing comments toward their parents; and b) parents of children with schizophrenia-spectrum disorders were more likely to direct harsh critical comments toward the child than were parents of depressed children or parents of normal controls. In addition, children\u27s and mothers\u27 use of benign criticism was linked, while children\u27s harsh criticism was associated with intrusion from the father, and children\u27s self-denigrating comments were related to specific paternal criticism. Implications of these results for understanding transactional processes associated with childhood-onset depressive and schizophrenia-spectrum disorders are discussed
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