Titlebook: Decision Making: Uncertainty, Imperfection, Deliberation and Scalability; Tatiana V. Guy,Miroslav Kárný,David H. Wolpert Book 2015 The Edi

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Lasso Granger Causal Models: Some Strategies and Their Efficiency for Gene Expression Regulatory Netends to select too many causal relationships, which leads to spurious results. In our previous work, we proposed a thresholding strategy for Graphical Lasso Granger method, called two-level-thresholding and demonstrated how the variable over-selection of the Graphical Lasso Granger method can be ov

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Cooperative Feature Selection in Personalized Medicine,process to rationally constrict the pertinent features towards a manageable selection of diagnostic findings. Without the suitable incorporation of domain expert knowledge machine based selections are often polluted by noise or irrelevant but massive variations. Selecting a subset of features is nec

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1860-949X , Czech Republic.Written by leading experts in the field.Inc.This volume focuses on uncovering the fundamental forces underlying dynamic decision making among multiple interacting, imperfect and selfish decision makers..The chapters are written by leading experts from different disciplines, all consi

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Book 2015 makers..The chapters are written by leading experts from different disciplines, all considering the many sources of imperfection in decision making, and always with an eye to decreasing the myriad discrepancies between theory and real world human decision making..Topics addressed include uncertaint

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Datenbanken für Nichtinformatikernew members of the cohort and identifying those members whose services are no longer needed. We demonstrate empirically how our intelligent task assignment approach improves the accuracy of combined decisions while requiring fewer responses from the crowd.

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