Probabilistic Graphical Models (Record no. 18943)

MARC details
000 -LEADER
fixed length control field 05133nam a22005415i 4500
001 - CONTROL NUMBER
control field 978-3-319-11433-0
003 - CONTROL NUMBER IDENTIFIER
control field DE-He213
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20170628034235.0
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
fixed length control field cr nn 008mamaa
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 140911s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783319114330
-- 978-3-319-11433-0
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-319-11433-0
Source of number or code doi
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q334-342
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TJ210.2-211.495
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQ
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code TJFM1
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Gaag, Linda C.
Relator term editor.
245 10 - TITLE STATEMENT
Title Probabilistic Graphical Models
Medium [electronic resource] :
Remainder of title 7th European Workshop, PGM 2014, Utrecht, The Netherlands, September 17-19, 2014. Proceedings /
Statement of responsibility, etc edited by Linda C. Gaag, Ad J. Feelders.
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2014.
300 ## - PHYSICAL DESCRIPTION
Extent XII, 598 p. 186 illus.
Other physical details online resource.
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-- computer
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-- online resource
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490 1# - SERIES STATEMENT
Series statement Lecture Notes in Computer Science,
International Standard Serial Number 0302-9743 ;
Volume number/sequential designation 8754
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Structural Sensitivity for the Knowledge Engineering of Bayesian Networks -- A Pairwise Class Interaction Framework for Multilabel Classification -- From Information to Evidence in a Bayesian Network -- Learning Gated Bayesian Networks for Algorithmic Trading -- Local Sensitivity of Bayesian Networks to Multiple Simultaneous Parameter Shifts -- Bayesian Network Inference Using Marginal Trees -- On SPI-Lazy Evaluation of Influence Diagrams -- Extended Probability Trees for Probabilistic Graphical Models -- Mixture of Polynomials Probability Distributions for Grouped Sample Data -- Trading off Speed and Accuracy in Multilabel Classification -- Robustifying the Viterbi algorithm -- Extended Tree Augmented Naive Classifier -- Evaluation of Rules for Coping with Insufficient Data in Constraint-based Search Algorithms -- Supervised Classification Using Hybrid Probabilistic Decision Graphs -- Towards a Bayesian Decision Theoretic Analysis of Contextual Effect Modifiers -- Discrete Bayesian Network Interpretation of the Cox's Proportional Hazards Model -- Minimizing Relative Entropy in Hierarchical Predictive Coding -- Treewidth and the Computational Complexity of MAP Approximations -- Bayesian Networks with Function Nodes -- A New Method for Vertical Parallelisation of TAN Learning Based on Balanced Incomplete Block Designs -- Equivalences Between Maximum A Posteriori Inference in Bayesian Networks and Maximum Expected Utility Computation in Influence Diagrams -- Speeding Up $k$-Neighborhood Local Search in Limited Memory Influence Diagrams -- Inhibited Effects in CP-logic -- Learning Parameters in Canonical Models using Weighted Least Squares -- Learning Marginal AMP Chain Graphs under Faithfulness -- Learning Maximum Weighted (k+1)-order Decomposable Graphs by Integer Linear Programming -- Multi-label Classification for Tree and Directed Acyclic Graphs Hierarchies -- Min-BDeu and Max-BDeu Scores for Learning Bayesian Networks -- Causal Discovery from Databases with Discrete and Continuous Variables -- On Expressiveness of the AMP Chain Graph Interpretation -- Learning Bayesian Network Structures  when Discrete and Continuous Variables are Present -- Learning Neighborhoods of High Confidence in Constraint-Based Causal Discovery -- Causal Independence Models for Continuous Time Bayesian Networks -- Expressive Power of Binary Relevance and Chain Classifiers Based on Bayesian Networks for Multi-Label Classification -- An Approximate Tensor-Based Inference Method Applied to the Game of Minesweeper -- Compression of Bayesian Networks with NIN-AND Tree Modeling -- A Study of Recently Discovered Equalities about Latent Tree Models using Inverse Edges -- An Extended MPL-C Model for Bayesian Network Parameter Learning with Exterior Constraints.
520 ## - SUMMARY, ETC.
Summary, etc This book constitutes the refereed proceedings of the 7th International Workshop on Probabilistic Graphical Models, PGM 2014, held in Utrecht, The Netherlands, in September 2014. The 38 revised full papers presented in this book were carefully reviewed and selected from 44 submissions. The papers cover all aspects of graphical models for probabilistic reasoning, decision making, and learning.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer science.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computational complexity.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data mining.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial intelligence.
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Artificial Intelligence (incl. Robotics).
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probability and Statistics in Computer Science.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Data Mining and Knowledge Discovery.
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Discrete Mathematics in Computer Science.
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Feelders, Ad J.
Relator term editor.
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element SpringerLink (Online service)
773 0# - HOST ITEM ENTRY
Title Springer eBooks
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Printed edition:
International Standard Book Number 9783319114323
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
Uniform title Lecture Notes in Computer Science,
-- 0302-9743 ;
Volume number/sequential designation 8754
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://dx.doi.org/10.1007/978-3-319-11433-0">http://dx.doi.org/10.1007/978-3-319-11433-0</a>
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Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Source of acquisition Total Checkouts Barcode Date last seen Price effective from Koha item type
    Dewey Decimal Classification     Central Library Central Library 28/06/2017 Springer EBook   E-42122 28/06/2017 28/06/2017 E-Book

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