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• catalog abstract "Machine Learning and Statistics is a result of the authors' participation in the 1994 European Conference in Machine Learning. This important collection of contributions was adapted from conference workshop material and reworked to address readers of diverse backgrounds and skills. For newcomers to the field, a thorough introduction surveys the various topics and supplies numerous references for further reading. The book's main focus is on classification, the most common area of intersection. The classification process uses information about a new example to assign the example to one of a known number of classes. Such methods typically involve a rule learned from an initial set of data, which is where ML comes into play. Other topics covered include prediction, control, and an introduction to methods' of knowledge discovery in databases - a skill that has become especially relevant with the explosion in large-scale databases. Timely, practical, and innovative, this book offers a number of new algorithms and draws on real-world examples including financial and medical applications. It also includes two chapters on loans/credit applications that help identify bad risks and good customers - useful for those working with credit scoring and bad debt analysis.".
• catalog contributor b10163852.
• catalog contributor b10163853.
• catalog contributor b10163854.
• catalog created "1996.".
• catalog date "1996".
• catalog date "1996.".
• catalog dateCopyrighted "1996.".
• catalog description "Includes bibliographical references and index.".
• catalog description "Machine Learning and Statistics is a result of the authors' participation in the 1994 European Conference in Machine Learning. This important collection of contributions was adapted from conference workshop material and reworked to address readers of diverse backgrounds and skills. For newcomers to the field, a thorough introduction surveys the various topics and supplies numerous references for further reading. The book's main focus is on classification, the most common area of intersection. The classification process uses information about a new example to assign the example to one of a known number of classes. Such methods typically involve a rule learned from an initial set of data, which is where ML comes into play. Other topics covered include prediction, control, and an introduction to methods' of knowledge discovery in databases - a skill that has become especially relevant with the explosion in large-scale databases.".
• catalog description "Statistical properties of tree-based approaches to classification / A.P. White and W.Z. Liu -- The decision-tree algorithm CAL5 based on a statistical approach to its splitting algorithm / W. Müller and F. Wysotzki -- Probabilistic symbolic classifiers : an empirical comparison from a statistical perspective / M. Chiogna -- A multistrategy approach to learning multiple dependent concepts / D. Malerba, G. Semeraro, and F. Esposito -- Quality of decision rules : definitions and classification schemes for multiple rules / I. Bruha -- DIPOL : a hybrid piecewise linear classifier / B. Schulmeister and F. Wysotzki -- Combining classification procedures / R.J. Henery -- Distance-based decision trees / C.C. Taylor -- Learning fuzzy controllers from examples / C. Baroglio [and others] -- Some developments in statistical credit scoring / D.J. Hand and W.E. Henley -- Combination of statistical and other learning methods to predict financial time series / M. Westphal and G. Nakhaeizadeh -- Combining statistical techniques and search heuristics to perform effective feature selection / M. Richeldi and M. Rossoto -- Comparison of three inductive numerical law discovery systems / M. Moulet -- Analogy as minimization of description length / A. Cornuéjols.".
• catalog description "Timely, practical, and innovative, this book offers a number of new algorithms and draws on real-world examples including financial and medical applications. It also includes two chapters on loans/credit applications that help identify bad risks and good customers - useful for those working with credit scoring and bad debt analysis.".
• catalog extent "xvii, 343 p. :".
• catalog hasFormat "Machine learning and statistics.".
• catalog identifier "0471148903 (cloth : alk. paper)".
• catalog isFormatOf "Machine learning and statistics.".
• catalog isPartOf "Sixth-generation computer technology series".
• catalog issued "1996".
• catalog issued "1996.".
• catalog language "eng".
• catalog publisher "New York : Wiley,".
• catalog relation "Machine learning and statistics.".
• catalog subject "006.3/1/015195 20".
• catalog subject "Machine learning Congresses.".
• catalog subject "Mathematical statistics Data processing Congresses.".
• catalog subject "QA276.4 .M23 1996".
• catalog tableOfContents "Statistical properties of tree-based approaches to classification / A.P. White and W.Z. Liu -- The decision-tree algorithm CAL5 based on a statistical approach to its splitting algorithm / W. Müller and F. Wysotzki -- Probabilistic symbolic classifiers : an empirical comparison from a statistical perspective / M. Chiogna -- A multistrategy approach to learning multiple dependent concepts / D. Malerba, G. Semeraro, and F. Esposito -- Quality of decision rules : definitions and classification schemes for multiple rules / I. Bruha -- DIPOL : a hybrid piecewise linear classifier / B. Schulmeister and F. Wysotzki -- Combining classification procedures / R.J. Henery -- Distance-based decision trees / C.C. Taylor -- Learning fuzzy controllers from examples / C. Baroglio [and others] -- Some developments in statistical credit scoring / D.J. Hand and W.E. Henley -- Combination of statistical and other learning methods to predict financial time series / M. Westphal and G. Nakhaeizadeh -- Combining statistical techniques and search heuristics to perform effective feature selection / M. Richeldi and M. Rossoto -- Comparison of three inductive numerical law discovery systems / M. Moulet -- Analogy as minimization of description length / A. Cornuéjols.".
• catalog title "Machine learning and statistics : the interface / G. Nakhaeizadeh & C.C. Taylor, editors.".
• catalog type "Conference proceedings. fast".
• catalog type "text".