Titlebook: Advances in Artificial Intelligence - SBIA 2012; 21st Brazilian Sympo Leliane N. Barros,Marcelo Finger,Marcos Castilho Conference proceedin

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书目名称Advances in Artificial Intelligence - SBIA 2012影响因子(影响力)




书目名称Advances in Artificial Intelligence - SBIA 2012影响因子(影响力)学科排名




书目名称Advances in Artificial Intelligence - SBIA 2012网络公开度




书目名称Advances in Artificial Intelligence - SBIA 2012网络公开度学科排名




书目名称Advances in Artificial Intelligence - SBIA 2012被引频次




书目名称Advances in Artificial Intelligence - SBIA 2012被引频次学科排名




书目名称Advances in Artificial Intelligence - SBIA 2012年度引用




书目名称Advances in Artificial Intelligence - SBIA 2012年度引用学科排名




书目名称Advances in Artificial Intelligence - SBIA 2012读者反馈




书目名称Advances in Artificial Intelligence - SBIA 2012读者反馈学科排名

北极人

Nuclear Medicine Imaging in Breast Cancerustering techniques help organizing and understanding such data, and parallelization of such may reduce the cost of achieving this goal or improve on the result. This works presents the parallel implementation of the HACO clustering method, analyzing process of parallelization and its results with different topologies and communication strategies.

焦虑

osteocytes

978-3-642-34458-9Springer-Verlag Berlin Heidelberg 2012

LIMN

Conference proceedings 2012ober 2012. The 23 revised full papers presented were carefully reviewed and selected from 81 submissions. The papers cover the following topics: knowledge representation, machine learning, machine learning and computer vision, agent-based and multi-agent systems, robotics and language, as well as constraints.

Chivalrous

M. L. Mendelsohn,L. A. Dethlefsenation. In the past few years, this formalism has been applied to real world scenarios with encouraging results. Not withstanding, the outcome one may obtain in this or any other argumentative system is directly related to the decisions (or lack thereof) made during the phase of knowledge representat

整洁

是他笨

Hormonal Dependency of Breast Cancer cognitive system is conceived. The use of this paradigm is an attempt to avoid the symbol grounding problem faced by some cognitive agent designs. We assume that the cognitive system of a sensorimotor agent is not aware of what it’s sensors sense or what it’s actuators do, or even where they are co

faddish

Maria P. Foschini,Vincenzo Eusebiatforms for regular users to create applications on which semantic data can be exploited and generated automatically. We propose an architecture, called Semantic Maps (.), for assisting the authoring and hosting of applications in which the maps combine the aggregation of a Geographic Information Sy

Melanoma

https://doi.org/10.1007/978-1-84996-314-5y scenarios and potentially improve automated decision making. Further, the preferences provided are often not sufficient to make a choice on behalf of users, as trade-offs are resolved with psychological processes employed in light of available options. We thus propose a decision making technique t