Setsuo arikawa (31 Ergebnisse)

Hardcover. Zustand: Very Good. No Jacket. Hardcover 2000 library bound edition. Ex-library book with stamps and labels attached. Binding firm. Pages unmarked and clean. Laminated covers and text in very good condition. Series: Lecture Notes in Artificial Intelligence ;1967. [xii, 332 p. : ill. ; 24 cm].…

Zustand: Very Good. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Softcover. Zustand: New.

Zustand: Very Good. 2002nd Edition. Former library copy. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.…

Softcover. 1st. 452 p. Good condition. Slight traces of storage and use. 9783540196617 Sprache: Englisch Gewicht in Gramm: 712.

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paperback. Zustand: Befriedigend. 452 Seiten; 9783540196617.4 Gewicht in Gramm: 1.

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Zustand: As New. Unread book in perfect condition.

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Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: Brand New. 2002 edition. 684 pages. 9.00x6.00x1.00 inches. In Stock.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume presents the proceedings of the Fourth International Workshop on Analogical and Inductive Inference (AII '94) and the Fifth International Workshop on Algorithmic Learning Theory (ALT '94), held jointly at Reinhardsbrunn Castle, Germany in October 1994. (In future the AII and ALT workshops will be amalgamated and held under the single title of Algorithmic Learning Theory.)The book contains revised versions of 45 papers on all current aspects of computational learning theory; in particular, algorithmic learning, machine learning, analogical inference, inductive logic, case-based reasoning, and formal language learning are addressed.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the 7th International Workshop on Algorithmic Learning Theory, ALT '96, held in Sydney, Australia, in October 1996.The 16 revised full papers presented were selected from 41 submissions; also included are eight short papers as well as four full length invited contributions by Ross Quinlan, Takeshi Shinohara, Leslie Valiant, and Paul Vitanyi, and an introduction by the volume editors. The book covers all areas related to algorithmic learning theory, ranging from theoretical foundations of machine learning to applications in several areas.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the refereed proceedings of the First International Conference on Discovery Science, DS'98, held in Fukuoka, Japan, in December 1998.The volume presents 28 revised full papers selected from a total of 76 submissions. Also included are five invited contributions and 34 selected poster presentations. The ultimate goal of DS'98 and this volume is to establish discovery science as a new field of research and development. The papers presented relate discovery science to areas as formal logic, knowledge processing, machine learning, automated deduction, searching, neural networks, database management, information retrieval, intelligent network agents, visualization, knowledge discovery, data mining, information extraction, etc.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Long Papers.- Predictive Graph Mining.- An Efficient Algorithm for Enumerating Closed Patterns in Transaction Databases.- Finding Optimal Pairs of Cooperative and Competing Patterns with Bounded Distance.- Mining Noisy Data Streams via a Discriminative Model.- CorClass: Correlated Association Rule Mining for Classification.- Maximum a Posteriori Tree Augmented Naive Bayes Classifiers.- Improving Prediction of Distance-Based Outliers.- Detecting Outliers via Logical Theories and Its Data Complexity.- Fast Hierarchical Clustering Algorithm Using Locality-Sensitive Hashing.- Measuring the Similarity for Heterogenous Data: An Ordered Probability-Based Approach.- Constructive Inductive Learning Based on Meta-attributes.- Resemblance Coefficient and a Quantum Genetic Algorithm for Feature Selection.- Extracting Positive Attributions from Scientific Papers.- Enhancing SVM with Visualization.- An Associative Information Retrieval Based on the Dependency of Term Co-occurrence.- On the Convergence of Incremental Knowledge Base Construction.- Privacy Problems with Anonymized Transaction Databases.- A Methodology for Biologically Relevant Pattern Discovery from Gene Expression Data.- Using the Computer to Study the Dynamics of the Handwriting Processes.- Product Recommendation in e-Commerce Using Direct and Indirect Confidence for Historical User Sessions.- Regular Papers.- Optimal Discovery of Subword Associations in Strings.- Tiling Databases.- A Clustering of Interestingness Measures.- Extracting Minimal and Closed Monotone DNF Formulas.- Characterizations of Multivalued Dependencies and Related Expressions.- Outlier Handling in the Neighbourhood-Based Learning of a Continuous Class.- A New Clustering Algorithm Based On Cluster Validity Indices.- An Efficient Rules Induction Algorithm for Rough Set Classification.- Analysing the Trade-Off Between Comprehensibility and Accuracy in Mimetic Models.- Generating AVTs Using GA for Learning Decision Tree Classifiers with Missing Data.- Using WWW-Distribution of Words in Detecting Peculiar Web Pages.- DHT Facilitated Web Service Discovery Incorporating Semantic Annotation.- Discovering Relationships Among Catalogs.- Reasoning-Based Knowledge Extraction for Text Classification.- A Useful System Prototype for Intrusion Detection - Architecture and Experiments.- Discovery of Hidden Similarity on Collaborative Filtering to Overcome Sparsity Problem.- Seamlessly Supporting Combined Knowledge Discovery and Query Answering: A Case Study.- A Structuralist Approach Towards Computational Scientific Discovery.- Extracting Modal Implications and Equivalences from Cognitive Minds.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This volume contains 3 invited papers, 15 regular papers, and 22 poster papers that were selected for presentation at the Third International Conference on Discovery Science (DS 2000), which was held 4-6 December 2000 in Kyoto. The Program Committee selected the contributed papers from 48 submissions. Three distinguished researchers accepted our invitation to present talks: J- frey D. Ullman (Stanford University), Joseph Y. Halpern (Cornell University), and Masami Hagiya (University of Tokyo). The Program Committee would like to thank all those who submitted papers for consideration and the invited speakers. I would like to thank the Program Committee members, the Local Arrangements Committee members, and the Steering Committee members for their splendid and hard work. Finally, special thanks go to the PC Assistant Shoko Suzuki for her assistance in the development of web pages and the preparation of these proceedings. September 2000 Shinichi Morishita Organization Discovery Science 2000 is organized as part of the activities of the Discovery Science Project sponsored by Grant-in-Aid for Scienti c Research in the Priority Area from the Ministry of Education, Science, Sports and Culture (MESSC) of Japan, in cooperation with the Japanese Society for Arti cial Intelligence, and with SIG of Data Mining, Japan Society for Software Science and Technology.…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - Invited Papers.- The Melting Pot of Automated Discovery: Principles for a New Science.- Expressive Probability Models in Science.- Contributed Papers.- Weighted Majority Decision among Several Region Rules for Scientific Discovery.- CAEP: Classification by Aggregating Emerging Patterns.- An Appropriate Abstraction for an Attribute-Oriented Induction.- Collaborative Hypothesis Testing Processes by Interactive Production Systems.- Computer Aided Discovery of User's Hidden Interest for Query Restructuring.- Iterative Naive Bayes.- Schema Design for Causal Law Mining from Incomplete Database.- Design and Evaluation of an Environment to Automate the Construction of Inductive Applications.- Designing Views in HypothesisCreator: System for Assisting in Discovery.- Discovering Poetic Allusion in Anthologies of Classical Japanese Poems.- Characteristic Sets of Strings Common to Semi-structured Documents.- Approximation of Optimal Two-Dimensional Association Rules for Categorical Attributes Using Semidefinite Programming.- Data Mining of Generalized Association Rules Using a Method of Partial-Match Retrieval.- Adaptive Sampling Methods for Scaling Up Knowledge Discovery Algorithms.- Scheduled Discovery of Exception Rules.- Learning in Constraint Databases.- Discover Risky Active Faults by Indexing an Earthquake Sequence.- Machine Discovery Based on the Co-occurrence of References in a Search Engine.- Smoothness Prior Approach to Explore the Mean Structure in Large Time Series Data.- Automatic Detection of Geomagnetic Sudden Commencement Using Lifting Wavelet Filters.- A Noise Resistant Model Inference System.- A Graphical Method for Parameter Learning of Symbolic-Statistical Models.- Parallel Execution for Speeding Up Inductive Logic Programming Systems.- Discovery of a Set ofNominally Conditioned Polynomials.- H-Map: A Dimension Reduction Mapping for Approximate Retrieval of Multi-dimensional Data.- Normal Form Transformation for Object Recognition Based on Support Vector Machines.- Posters.- A Definition of Discovery in Terms of Generalized Descriptional Complexity.- Feature Selection Using Consistency Measure.- A Model of Children's Vocabulary Acquisition Using Inductive Logic Programming.- Automatic Acquisition of Image Processing Procedures from Sample Sets of Classified Images Based on Requirement of Misclassification Rate.- 'Thermodynamics' from Time Series Data Analysis.- Developing a Knowledge Network of URLs.- Derivation of the Topology Structure from Massive Graph Data.- Mining Association Algorithm Based on ROC Convex Hull Method in Bibliographic Navigation System.- Regularization of Linear Regression Models in Various Metric Spaces.- Argument-Based Agent Systems.- Graph-Based Induction for General Graph Structured Data.- Rules Extraction by Constructive Learning of Neural Networks and Hidden-Unit Clustering.- Weighted Majority Decision among Region Rules for a Categorical Dataset.- Rule Discovery Technique Using GP with Crossover to Maintain Variety.- From Visualization to Interactive Animation of Database Records.- Extraction of Primitive Motion for Human Motion Recognition.- Finding Meaningful Regions Containing Given Keywords from Large Text Collections.- Mining Adaptation Rules from Cases in CBR Systems.- An Automatic Acquisition of Acoustical Units for Speech Recognition Based on Hidden Markov Network.- Knowledge Discovery from Health Data Using Weighted Aggregation Classifiers.- Search for New Methods for Assignment of Complex Molecular Spectra.- Automatic Discovery of Definition Patterns Based on the MDLPrinciple.- Detection of the Structure of Particle Velocity Distribution by Finite Mixture Distribution Model.- Mutagenes Discovery Using PC GUHA Software System.- Discovering the Primary Factors of Cancer from Health and Living Habit Questionnaires.…

Zustand: New. Searching for Mutual Exclusion Algorithms Using BDDs.- Reducing Search Space in Solving Higher-Order Equations.- The Structure of Scientific Discovery: From a Philosophical Point of View.- Ideal Concepts, Intuitions, and Mathematical Knowledge Acquisitions .

Taschenbuch. Zustand: Neu. Neuware - This volume contains the research reports of the Discovery Science pro ject in Japan (No. 10143106),in which more than 60 scientists participated. It was a three-year pro ject sponsored by Grant-in-Aid for Scienti c Research on Priority Areas from the Ministry of Education,Culture,Sports,Science,and Technology (MEXT) of Japan. This pro ject mainly aimed to (1) develop new methods for knowledge discovery,(2) install network environments for knowledge discovery, and (3) establish Discovery Science as a new area of study in Computer Science / Arti cial Intelligence. In order to attain these aims we set up ve groups for studying the following research areas: (A) Logic for/of Knowledge Discovery (B) Knowledge Discovery by Inference/Reasoning (C) Knowledge Discovery Based on Computational Learning Theory (D) Knowledge Discovery in Huge Databases and Data Mining (E) Knowledge Discovery in Network Environments These research areas and related topics can be regarded as a preliminary d- inition of Discovery Science by enumeration. Thus Discovery Science ranges over philosophy,logic,reasoning,computational learning,and system developments. In addition to these ve research groups we organized a steering group for planning,adjustment,and evaluation of the project. The steering group,chaired by the principal investigator of the project,consists of leaders of the ve research groups and their subgroups as well as advisors from outside of the pro ject. We invited three scientists to consider Discovery Science and the ve above m- tioned research areas from viewpoints of knowledge science,natural language processing,and image processi ng,respectively.…