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Author: Xiaojin Zhu Publisher: ISBN: Category : Artificial intelligence Languages : en Pages : 24
Book Description
Abstract: "We introduce Time-Sensitive Dirichlet Process Mixture models for clustering. The models allow infinite mixture components just like standard Dirichlet process mixture models. However they also have the ability to model time correlations between instances."
Author: Xiaojin Zhu Publisher: ISBN: Category : Artificial intelligence Languages : en Pages : 24
Book Description
Abstract: "We introduce Time-Sensitive Dirichlet Process Mixture models for clustering. The models allow infinite mixture components just like standard Dirichlet process mixture models. However they also have the ability to model time correlations between instances."
Author: Bo Long Publisher: CRC Press ISBN: 1420072625 Category : Business & Economics Languages : en Pages : 214
Book Description
A culmination of the authors' years of extensive research on this topic, Relational Data Clustering: Models, Algorithms, and Applications addresses the fundamentals and applications of relational data clustering. It describes theoretic models and algorithms and, through examples, shows how to apply these models and algorithms to solve real-world problems. After defining the field, the book introduces different types of model formulations for relational data clustering, presents various algorithms for the corresponding models, and demonstrates applications of the models and algorithms through extensive experimental results. The authors cover six topics of relational data clustering: Clustering on bi-type heterogeneous relational data Multi-type heterogeneous relational data Homogeneous relational data clustering Clustering on the most general case of relational data Individual relational clustering framework Recent research on evolutionary clustering This book focuses on both practical algorithm derivation and theoretical framework construction for relational data clustering. It provides a complete, self-contained introduction to advances in the field.
Author: Leif Azzopardi Publisher: Springer Science & Business Media ISBN: 3642044166 Category : Computers Languages : en Pages : 399
Book Description
This book constitutes the refereed proceedings of the Second International Conference on the Theory of Information Retrieval, ICTIR 2009, held in Cambridge, UK, in September 2009. The 18 revised full papers, 14 short papers, and 11 posters presented together with one invited talk were carefully reviewed and selected from 82 submissions. The papers are categorized into four main themes: novel IR models, evaluation, efficiency, and new perspectives in IR. Twenty-one papers fall into the general theme of novel IR models, ranging from various retrieval models, query and term selection models, Web IR models, developments in novelty and diversity, to the modeling of user aspects. There are four papers on new evaluation methodologies, e.g., modeling score distributions, evaluation over sessions, and an axiomatic framework for XML retrieval evaluation. Three papers focus on the issue of efficiency and offer solutions to improve the tractability of PageRank, data cleansing practices for training classifiers, and approximate search for distributed IR. Finally, four papers look into new perspectives of IR and shed light on some new emerging areas of interest, such as the application and adoption of quantum theory in IR.
Author: Nils Lid Hjort Publisher: Cambridge University Press ISBN: 1139484605 Category : Mathematics Languages : en Pages : 309
Book Description
Bayesian nonparametrics works - theoretically, computationally. The theory provides highly flexible models whose complexity grows appropriately with the amount of data. Computational issues, though challenging, are no longer intractable. All that is needed is an entry point: this intelligent book is the perfect guide to what can seem a forbidding landscape. Tutorial chapters by Ghosal, Lijoi and Prünster, Teh and Jordan, and Dunson advance from theory, to basic models and hierarchical modeling, to applications and implementation, particularly in computer science and biostatistics. These are complemented by companion chapters by the editors and Griffin and Quintana, providing additional models, examining computational issues, identifying future growth areas, and giving links to related topics. This coherent text gives ready access both to underlying principles and to state-of-the-art practice. Specific examples are drawn from information retrieval, NLP, machine vision, computational biology, biostatistics, and bioinformatics.
Author: Yuting Qi Publisher: ISBN: Category : Mixture distributions (Probability theory) Languages : en Pages : 258
Book Description
In this dissertation, we develop two novel statistical models utilizing the Dirichlet process (DP) prior: (i) a DP-based hidden Markov mixture model, and (ii) multi-task compressive sensing.
Author: Tru Cao Publisher: Springer ISBN: 3319180320 Category : Computers Languages : en Pages : 787
Book Description
This two-volume set, LNAI 9077 + 9078, constitutes the refereed proceedings of the 19th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, PAKDD 2015, held in Ho Chi Minh City, Vietnam, in May 2015. The proceedings contain 117 paper carefully reviewed and selected from 405 submissions. They have been organized in topical sections named: social networks and social media; classification; machine learning; applications; novel methods and algorithms; opinion mining and sentiment analysis; clustering; outlier and anomaly detection; mining uncertain and imprecise data; mining temporal and spatial data; feature extraction and selection; mining heterogeneous, high-dimensional, and sequential data; entity resolution and topic-modeling; itemset and high-performance data mining; and recommendations.
Author: Joseph G. Ibrahim Publisher: Springer Science & Business Media ISBN: 1475734476 Category : Medical Languages : en Pages : 494
Book Description
Survival analysis arises in many fields of study including medicine, biology, engineering, public health, epidemiology, and economics. This book provides a comprehensive treatment of Bayesian survival analysis. It presents a balance between theory and applications, and for each class of models discussed, detailed examples and analyses from case studies are presented whenever possible. The applications are all from the health sciences, including cancer, AIDS, and the environment.
Author: Xiaojin Zhu
Author: Xiaojin Zhu
Author: Bo Long
Author: Leif Azzopardi
Author: Nils Lid Hjort
Author: Yuting Qi
Author: Tru Cao
Author: David Boyack Dahl
Author: Marie G. Gantz
Author: Alireza Bakhtiari Koohsorkhi
Author: Joseph G. Ibrahim