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CFAR behavior of adaptive detectors: an experimental analysis
IEEE Transactions on Aerospace and Electronic Systems, 2004In this paper we perform an experimental analysis for assessing the constant false alarm rate (CFAR) behavior or four coherent adaptive radar detectors in the presence of experimentally measured clutter data. To this end we exploit several data files containing both land and lake clutter, collected by two radar systems (the MIT Lincoln Laboratory Phase-
DE MAIO, ANTONIO +3 more
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Superstitious Behavior in Children: An Experimental Analysis
1973Publisher Summary This chapter reviews response-independent reinforcing effects and shows that reinforcement has multiple influences on the behavior of children. Some types of behavior are elicited by response-independent reinforcing stimuli; other forms of behavior are strengthened because a response-independent reinforcing stimulus follows them. It
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EXPERIMENTAL ANALYSIS OF PRECURSORS TO SEVERE PROBLEM BEHAVIOR
Journal of Applied Behavior Analysis, 2013AbstractSome individuals engage in both mild and severe forms of problem behavior. Research has shown that when mild behaviors precede severe behaviors (i.e., the mild behaviors serve as precursors), they can (a) be maintained by the same source of reinforcement as severe behavior and (b) reduce rates of severe behavior observed during assessment.
Jennifer N, Fritz +3 more
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An experimental analysis of behavioral factors in drug dependence
1975Many biological scientists have viewed attempts to study the psychological or behavioral aspects of drug action as belonging near the questionable limits of scientific inquiry, if not floating well into the abyss of the objectively unknowable. Such scientific conservatism is not without reason, for as Sidman (62) noted, “A major factor contributing to ...
T, Thompson, R, Pickens
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Learning Process Behavior with EDY: an Experimental Analysis
2008This paper presents an extensive evaluation, on artificial datasets, of EDY, an unsupervised algorithm for automatically synthesizing a Structured Hidden Markov Model (S-HMM) from a database of sequences. The goal of EDY is capturing the stochastic process by which the observed data was generated.
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