Titlebook: Neural Information Processing; 27th International C Haiqin Yang,Kitsuchart Pasupa,Irwin King Conference proceedings 2020 Springer Nature Sw

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Paul Black,Ammar Sohail,Iqbal Gondal,Joarder Kamruzzaman,Peter Vamplew,Paul Watters, design, or code, and project knowledge, such as project plans, decisions, and work items. In this chapter, we study two kinds of project knowledge: work items and decisions. Work items document what should or has been done by whom and when. Decisions represent the solution to a decision problem. T

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Yaoman Li,Irwin King, design, or code, and project knowledge, such as project plans, decisions, and work items. In this chapter, we study two kinds of project knowledge: work items and decisions. Work items document what should or has been done by whom and when. Decisions represent the solution to a decision problem. T

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Adaptive Risk-Return Control in Motor Planning findings from spatial reaching and coincident timing tasks have challenged this theory by revealing that humans exhibited risk-seeking or risk-aversive rather than risk-neutral tendency (i.e., failed to achieve Bayesian optimality) in asymmetric gain functions (the gain/loss asymmetric to the targe

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Discrete Mother Tree Optimization for the Traveling Salesman Problemproblems. MTO is built on an offspring topology and a set of cooperating agents. In this paper, we first present a discrete version of MTO, that we call Discrete MTO (DMTO), for solving the Traveling Salesman Problem (TSP). DMTO is based on a new swap operation that is best suited for TSPs. We also

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Real Valued Card Counting Strategies for the Game of Blackjacklculate whether the next hand is likely to be in the favor of the player or the dealer. A card counting system assigns point values (weights) to the cards. Summing the point values of the already played cards gives a concise numerical estimate of how advantageous the remaining cards are for the play

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A Feature Selection Approach to Visual Domain Adaptation in Classificatione an enormous amount of unlabeled datasets available in the form of images, videos, audios, articles, and many more. The major challenge we face is to train our classification model with primitive machine learning algorithms because these algorithms only expect labeled data. To overcome these limita