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Computational Analysis of Behavior
Annual Review of Neuroscience, 2016In this review, we discuss the emerging field of computational behavioral analysis—the use of modern methods from computer science and engineering to quantitatively measure animal behavior. We discuss aspects of experiment design important to both obtaining biologically relevant behavioral data and enabling the use of machine vision and learning ...
S E Roian, Egnor, Kristin, Branson
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Synchronizer Behavior and Analysis
2009 15th IEEE Symposium on Asynchronous Circuits and Systems, 2009Synchronizer characterization is non-trivial. The exponential response to parameter changes makes this task a challenge, which is further hampered by numerical instability and precision limitations of circuit simulators. The analysis of multi-stage synchronizers is extremely difficult due to the compounding of these exponential factors.
Ian W. Jones +2 more
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Behavior analysis and training-a methodology for behavior engineering
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 1996We propose Behavior Engineering as a new technological area whose aim is to provide methodologies and tools for developing autonomous robots. Building robots is a very complex engineering enterprise that requires the exact definition and scheduling of the activities which a designer, or a team of designers, should follow.
COLOMBETTI, MARCO, M. DORIGO, G. BORGHI
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View-Independent Behavior Analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2009The motion analysis of the human body is an important topic of research in computer vision devoted to detecting, tracking, and understanding people's physical behavior. This strong interest is driven by a wide spectrum of applications in various areas such as smart video surveillance.
Kaiqi Huang +4 more
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2020
Online behaviors analysis consists of extracting patterns from server-logs. The works presented here were carried out within the "mBook" project which aimed to develop indicators of the quantity and quality of the learning process of pupils from their usage of an eponymous electronic textbook for History. In this thesis, the research group investigates
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Online behaviors analysis consists of extracting patterns from server-logs. The works presented here were carried out within the "mBook" project which aimed to develop indicators of the quantity and quality of the learning process of pupils from their usage of an eponymous electronic textbook for History. In this thesis, the research group investigates
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Behavior analysis and neuroscience
Behavioural Processes, 2002Darwin proposed a powerful functional principle-natural selection-to interpret phylogenetic diversity and complexity. Nevertheless, some 70 years elapsed before even biologists embraced his account. The triumph of natural selection required two additional factors: (a) biological mechanisms that implemented the functional principle (i.e. genetics); and (
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1974
Current research on hormones and behavior deals with two distinct, but related aspects of hormone action, the effects of hormones on behavior controlled by a fixed substrate and the effects of hormones on the development and differentiation of the substrate for behavior. These have often been called the “activating” and “organizing” actions of hormones,
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Current research on hormones and behavior deals with two distinct, but related aspects of hormone action, the effects of hormones on behavior controlled by a fixed substrate and the effects of hormones on the development and differentiation of the substrate for behavior. These have often been called the “activating” and “organizing” actions of hormones,
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Behavior Analysis and Behavior Synthesis
The Psychological Record, 1971Science is an enterprise whose chief goal is the effective dealing with events rather than, as implied by much current research in psychology, primarily an endeavor to “understand” or “explain,” i.e., to arrive at acceptable verbalizations about events.
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Customer Behavior Analysis with Enthusiasm Analysis
2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI), 2016In this paper I propose customer behavior analysis using enthusiasm analysis. Especially our goal is to discovery drop-off users from access logs. It is important to find drop-off users earlier and support them to stay in a service. Usually prediction models are constructed in machine learning and RFM analysis is used in marketing field.
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