Delimata (55 results)

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Condition: New. pp. 132.

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Condition: New. 1st ed. 2019 edition NO-PA16APR2015-KAP.

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Condition: New. pp. 130.

Condition: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This monograph is devoted to theoretical and experimental study of inhibitory decision and association rules. Inhibitory rules contain on the right-hand side a relation of the kind ¿attribut = value¿. The use of inhibitory rules instead of deterministic (standard) ones allows us to describe more completely infor- tion encoded in decision or information systems and to design classi?ers of high quality. The mostimportantfeatureofthis monographis thatit includesanadvanced mathematical analysis of problems on inhibitory rules. We consider algorithms for construction of inhibitory rules, bounds on minimal complexity of inhibitory rules, and algorithms for construction of the set of all minimal inhibitory rules. We also discuss results of experiments with standard and lazy classi?ers based on inhibitory rules. These results show that inhibitory decision and association rules can be used in data mining and knowledge discovery both for knowledge representation and for prediction. Inhibitory rules can be also used under the analysis and design of concurrent systems. The results obtained in the monograph can be useful for researchers in such areas as machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, test theory, and logical analysis of data (LAD). The monograph can be used under the creation of courses for graduate students and for Ph.D. studies. TheauthorsofthisbookextendanexpressionofgratitudetoProfessorJanusz Kacprzyk, to Dr. Thomas Ditzinger and to the Studies in Computational Int- ligence sta? at Springer for their support in making this book possible.

Paperback. Condition: Brand New. 204 pages. 9.25x6.10x0.43 inches. In Stock.

Hardcover. Condition: Brand New. 186 pages. 9.25x6.25x0.50 inches. In Stock.

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Taschenbuch. Condition: Neu. Articulating Intersex: A Crisis at the Intersection of Scientific Facts and Social Ideals | Natalie Delimata | Taschenbuch | Philosophy and Medicine | xvi | Englisch | 2020 | Springer | EAN 9783030219000 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the ethical dilemma clinicians may face when disclosing a diagnosis of atypical sex. The moment of disclosure reveals an epistemic incompatibility between scientific fact and social meaning in relation to sex. Attempting to assess the bio-psychosocial implications of this dilemma highlights a complex historic antagonism between fact and meaning making satisfactory resolution of this dilemma difficult. Drawing on David Hume, WVO Quine and Michel Foucault the author presents an integrative model, which views scientific fact and social meaning as codetermining threads in one fabric of knowledge. From this epistemic perspective, the ethical dilemma is understood as a tear in the fabric signifying a rupturing of ontological integrity. To mend this tear and resolve the ethical dilemma three metaphysical perspectives are considered: essentialism, naturalism and emergentism. The book's unique features include: an exploration of the impact of diagnostic disclosure on people with atypical sex (intersex); a synthesis of the epistemic perspectives of social and natural science facilitating interdisciplinary collaboration; a critical evaluation of three metaphysical perspectives on atypical sex (intersex); the application of Hume's epistemological and moral distinctions to contemporary biomedicine and bioethics. The book's target audience includes academics, students and professionals whose work intersects the natural and social sciences, and individuals interested in the metaphysics, epistemology and meta-ethics of sex.

Hardcover. Condition: Brand New. illustrated edition edition. 116 pages. 9.25x6.25x0.50 inches. In Stock.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book explores the ethical dilemma clinicians may face when disclosing a diagnosis of atypical sex. The moment of disclosure reveals an epistemic incompatibility between scientific fact and social meaning in relation to sex. Attempting to assess the bio-psychosocial implications of this dilemma highlights a complex historic antagonism between fact and meaning making satisfactory resolution of this dilemma difficult. Drawing on David Hume, WVO Quine and Michel Foucault the author presents an integrative model, which views scientific fact and social meaning as codetermining threads in one fabric of knowledge. From this epistemic perspective, the ethical dilemma is understood as a tear in the fabric signifying a rupturing of ontological integrity. To mend this tear and resolve the ethical dilemma three metaphysical perspectives are considered: essentialism, naturalism and emergentism. The book's unique features include: an exploration of the impact of diagnostic disclosure on people with atypical sex (intersex); a synthesis of the epistemic perspectives of social and natural science facilitating interdisciplinary collaboration; a critical evaluation of three metaphysical perspectives on atypical sex (intersex); the application of Hume's epistemological and moral distinctions to contemporary biomedicine and bioethics. The book's target audience includes academics, students and professionals whose work intersects the natural and social sciences, and individuals interested in the metaphysics, epistemology and meta-ethics of sex.

Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph is devoted to theoretical and experimental study of inhibitory decision and association rules. Inhibitory rules contain on the right-hand side a relation of the kind 'attribut = value'. The use of inhibitory rules instead of deterministic (standard) ones allows us to describe more completely infor- tion encoded in decision or information systems and to design classi ers of high quality. The mostimportantfeatureofthis monographis thatit includesanadvanced mathematical analysis of problems on inhibitory rules. We consider algorithms for construction of inhibitory rules, bounds on minimal complexity of inhibitory rules, and algorithms for construction of the set of all minimal inhibitory rules. We also discuss results of experiments with standard and lazy classi ers based on inhibitory rules. These results show that inhibitory decision and association rules can be used in data mining and knowledge discovery both for knowledge representation and for prediction. Inhibitory rules can be also used under the analysis and design of concurrent systems. The results obtained in the monograph can be useful for researchers in such areas as machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, test theory, and logical analysis of data (LAD). The monograph can be used under the creation of courses for graduate students and for Ph.D. studies. TheauthorsofthisbookextendanexpressionofgratitudetoProfessorJanusz Kacprzyk, to Dr. Thomas Ditzinger and to the Studies in Computational Int- ligence sta at Springer for their support in making this book possible.

Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - This monograph is devoted to theoretical and experimental study of inhibitory decision and association rules. Inhibitory rules contain on the right-hand side a relation of the kind 'attribut = value'. The use of inhibitory rules instead of deterministic (standard) ones allows us to describe more completely infor- tion encoded in decision or information systems and to design classi ers of high quality. The mostimportantfeatureofthis monographis thatit includesanadvanced mathematical analysis of problems on inhibitory rules. We consider algorithms for construction of inhibitory rules, bounds on minimal complexity of inhibitory rules, and algorithms for construction of the set of all minimal inhibitory rules. We also discuss results of experiments with standard and lazy classi ers based on inhibitory rules. These results show that inhibitory decision and association rules can be used in data mining and knowledge discovery both for knowledge representation and for prediction. Inhibitory rules can be also used under the analysis and design of concurrent systems. The results obtained in the monograph can be useful for researchers in such areas as machine learning, data mining and knowledge discovery, especially for those who are working in rough set theory, test theory, and logical analysis of data (LAD). The monograph can be used under the creation of courses for graduate students and for Ph.D. studies. TheauthorsofthisbookextendanexpressionofgratitudetoProfessorJanusz Kacprzyk, to Dr. Thomas Ditzinger and to the Studies in Computational Int- ligence sta at Springer for their support in making this book possible.