Pedreschi dino (145 risultati)

Condizione: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: Brand New. 158 pages. 9.00x6.00x0.75 inches. In Stock.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 360.

Condizione: New.

Condizione: New. pp. 588.

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - A successful integration of constraint programming and data mining has the potential to lead to a new ICT paradigm with far reaching implications. It could change the face of data mining and machine learning, as well as constraint programming technology. It would not only allow one to use data mining techniques in constraint programming to identify and update constraints and optimization criteria, but also to employ constraints and criteria in data mining and machine learning in order to discover models compatible with prior knowledge. This book reports on some key results obtained on this integrated and cross- disciplinary approach within the European FP7 FET Open project no. 284715 on 'Inductive Constraint Programming' and a number of associated workshops and Dagstuhl seminars. The book is structured in five parts: background; learning to model; learning to solve; constraint programming for data mining; and showcases.…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the strictly refereed post-workshop proceedings of the International Workshop on Logic in Databases, LID'96, held in San Miniato, Italy, in July 1996, as the final meeting of an EC-US cooperative activity.The volume presents 21 revised full papers selected from 49 submissions as well as 3 invited contributions and a summary of a panel discussion on deductive databases: challenges, opportunities and future directions. The retrospective survey on logic and databases by Jack Minker deserves a special mention: it is a 56-page overview and lists 357 references. The papers are organized in sections on uncertainty, temporal and spatial reasoning, updates, active databases, semantics, advanced applications, query evaluation, language extensions, and logic constructs and expressive power.…

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Invited Papers.- Random Matrices in Data Analysis.- Data Privacy.- Breaking Through the Syntax Barrier: Searching with Entities and Relations.- Real-World Learning with Markov Logic Networks.- Strength in Diversity: The Advance of Data Analysis.- Contributed Papers.- Mining Positive and Negative Association Rules: An Approach for Confined Rules.- An Experiment on Knowledge Discovery in Chemical Databases.- Shape and Size Regularization in Expectation Maximization and Fuzzy Clustering.- Combining Multiple Clustering Systems.- Reducing Data Stream Sliding Windows by Cyclic Tree-Like Histograms.- A Framework for Data Mining Pattern Management.- Spatial Associative Classification at Different Levels of Granularity: A Probabilistic Approach.- AutoPart: Parameter-Free Graph Partitioning and Outlier Detection.- Properties and Benefits of Calibrated Classifiers.- A Tree-Based Approach to Clustering XML Documents by Structure.- Discovery of Regulatory Connections in Microarray Data.- Learning from Little: Comparison of Classifiers Given Little Training.- Geometric and Combinatorial Tiles in 0-1 Data.- Document Classification Through Interactive Supervision of Document and Term Labels.- Classifying Protein Fingerprints.- Finding Interesting Pass Patterns from Soccer Game Records.- Discovering Unexpected Information for Technology Watch.- Scalable Density-Based Distributed Clustering.- Summarization of Dynamic Content in Web Collections.- Mining Thick Skylines over Large Databases.- Ensemble Feature Ranking.- Privately Computing a Distributed k-nn Classifier.- Incremental Nonlinear PCA for Classification.- A Spectroscopy of Texts for Effective Clustering.- Constraint-Based Mining of Episode Rules and Optimal Window Sizes.- Analysing Customer Churn in Insurance Data - A Case Study.- Nomograms for Visualization of Naive Bayesian Classifier.- Using a Hash-Based Method for Apriori-Based Graph Mining.- Evaluation of Rule Interestingness Measures with a Clinical Dataset on Hepatitis.- Classification in Geographical Information Systems.- Digging into Acceptor Splice Site Prediction: An Iterative Feature Selection Approach.- Itemset Classified Clustering.- Combining Winnow and Orthogonal Sparse Bigrams for Incremental Spam Filtering.- Asynchronous and Anticipatory Filter-Stream Based Parallel Algorithm for Frequent Itemset Mining.- A Quantification of Cluster Novelty with an Application to Martian Topography.- Density-Based Spatial Clustering in the Presence of Obstacles and Facilitators.- Text Mining for Finding Functional Community of Related Genes Using TCM Knowledge.- Dealing with Predictive-but-Unpredictable Attributes in Noisy Data Sources.- A New Scheme on Privacy Preserving Association Rule Mining.- Posters.- A Unified and Flexible Framework for Comparing Simple and Complex Patterns.- Constructing (Almost) Phylogenetic Trees from Developmental Sequences Data.- Learning from Multi-source Data.- The Anatomy of SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets.- COCOA: Compressed Continuity Analysis for Temporal Databases.- Discovering Interpretable Muscle Activation Patterns with the Temporal Data Mining Method.- A Tolerance Rough Set Approach to Clustering Web Search Results.- Improving the Performance of the RISE Algorithm.- Mining History of Changes to Web Access Patterns.- Demonstration Papers.- Visual Mining of Spatial Time Series Data.- Detecting Driving Awareness.- An Effective Recommender System for Highly Dynamic and Large Web Sites.- SemanticTalk: Software for Visualizing Brainstorming Sessions and Thematic Concept Trails on Document Collections.- Orange: From Experimental Machine Learning to Interactive Data Mining.- Terrorist Detection System.- Experimenting SnakeT: A Hierarchical Clustering Engine for Web-Page Snippets.- HIClass: Hyper-interactive Text Classification by Interactive Supervision of Document and Term Labels.- Balios - The Engine for Bayesian Logic Programs.- SEWeP: A Web Mining System Supportin. …

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - Invited Papers.- Random Matrices in Data Analysis.- Data Privacy.- Breaking Through the Syntax Barrier: Searching with Entities and Relations.- Real-World Learning with Markov Logic Networks.- Strength in Diversity: The Advance of Data Analysis.- Contributed Papers.- Filtered Reinforcement Learning.- Applying Support Vector Machines to Imbalanced Datasets.- Sensitivity Analysis of the Result in Binary Decision Trees.- A Boosting Approach to Multiple Instance Learning.- An Experimental Study of Different Approaches to Reinforcement Learning in Common Interest Stochastic Games.- Learning from Message Pairs for Automatic Email Answering.- Concept Formation in Expressive Description Logics.- Multi-level Boundary Classification for Information Extraction.- An Analysis of Stopping and Filtering Criteria for Rule Learning.- Adaptive Online Time Allocation to Search Algorithms.- Model Approximation for HEXQ Hierarchical Reinforcement Learning.- Iterative Ensemble Classification for RelationalData: A Case Study of Semantic Web Services.- Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics.- Experiments in Value Function Approximation with Sparse Support Vector Regression.- Constructive Induction for Classifying Time Series.- Fisher Kernels for Logical Sequences.- The Enron Corpus: A New Dataset for Email Classification Research.- Margin Maximizing Discriminant Analysis.- Multi-objective Classification with Info-Fuzzy Networks.- Improving Progressive Sampling via Meta-learning on Learning Curves.- Methods for Rule Conflict Resolution.- An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk.- Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection.- Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework.- Justification-Based Selection of Training Examples for Case Base Reduction.- Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers.- Feature Selection Filters Based on the Permutation Test.- Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning.- Improving Random Forests.- The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering.- Using String Kernels to Identify Famous Performers from Their Playing Style.- Associative Clustering.- Learning to Fly Simple and Robust.- Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data.- Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees.- Inducing Polynomial Equations for Regression.- Efficient Hyperkernel Learning Using Second-Order Cone Programming.- Effective Voting of Heterogeneous Classifiers.- Convergence and Divergence in Standard and Averaging Reinforcement Learning.- Document Representation for One-Class SVM.- Naive Bayesian Classifiers for Ranking.- Conditional Independence Trees.- Exploiting Unlabeled Data in Content-BasedImage Retrieval.- Population Diversity in Permutation-Based Genetic Algorithm.- Simultaneous Concept Learning of Fuzzy Rules.- Posters.- SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data.- Estimating Attributed Central Orders.- Batch Reinforcement Learning with State Importance.- Explicit Local Models: Towards 'Optimal' Optimization Algorithms.- An Intelligent Model for the Signorini Contact Problem in Belt Grinding Processes.- Cluster-Grouping: From Subgroup Discovery to Clustering. …

Taschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed post-conference proceedings of the First International Workshop on Personal Analytics and Privacy, PAP 2017, held in Skopje, Macedonia, in September 2017. The 14 papers presented together with 2 invited talks in this volume were carefully reviewed and selected for inclusion in this book and handle topics such as personal analytics, personal data mining and privacy in the context where real individual data are used for developing a data-driven service, for realizing a social study aimed at understanding nowadays society, and for publication purposes.…