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Titlebook: Systematic Intervention with Disturbed Children; Marvin J. Fine (Professor) Book 1984 Spectrum Publications, Inc. 1984 assessment.child.ch

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Stephen T. Sirridgech. First, the existing abstract data types are not quite right for new use and require at least some modification. Second, almost all abstract data type definitions are independent and at the same level, which often makes it impossible to structure a program to fit the problem space that the progra
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complicated visualization without losing connectivity information by automatically abstracting small node-disjoint cliques or subgraphs which are almost complete graphs (.). We call this type of abstraction node grouping and will collectively refer to node-disjoint cliques and almost-cliques as ..
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Robert G. Harringtonnology, we present a prototype language and system derived from empirical studies in which students constructed and presented visualizations made out of simple art supplies. Our prototype language and system pioneer a novel technique for programming visualizations based on spatial relations, and a n
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Natalie Hill In addition, each chapter is followed by a list of exercises including both pen and paper exercises, as well as programming tasks. Although written mostly for graduate students, the book will also be a source for researchers in both academia and industry, as it will provide a broad and systematic o
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ared with the expected ones, prescribed by the testing “oracle,” ideally the program specification. However, in structural testing, tests are synthesized on the basis of the code itself, rather than its specification. A structural testing strategy is defined in terms of ., i.e, program statements, o
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l notion of safety for classifiers via constraints called .. These constraints relate requirements on the order of the classes output by a classifier to conditions on its input, and are expressive enough to encode various interesting examples of classifier safety specifications from the literature.
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Marvin J. Fine,Richard L. Simpsons and are often used in computational models with safety-critical applications. For critical computations, numerical solvers for ODEs that provide useful guarantees of their accuracy and correctness are required, but do not always exist in practice. In this work, we demonstrate how to use the Coq pr
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