Probabilistic Graphical Models (Record no. 91074)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 05535nam a22006015i 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 | 20240730181800.0 |
| 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 sz | 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 | TA347.A78 |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | bicssc |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | COM004000 |
| Source | bisacsh |
| 072 #7 - SUBJECT CATEGORY CODE | |
| Subject category code | UYQ |
| Source | thema |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 006.3 |
| Edition number | 23 |
| 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. van der Gaag, Ad J. Feelders. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2014. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2014. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XII, 598 p. 186 illus. |
| Other physical details | online resource. |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 347 ## - DIGITAL FILE CHARACTERISTICS | |
| File type | text file |
| Encoding format | |
| Source | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume/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 ContinuousVariables -- 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 entry element | Artificial intelligence. |
| 9 (RLIN) | 3407 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Computer science |
| General subdivision | Mathematics. |
| 9 (RLIN) | 3866 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Mathematical statistics. |
| 9 (RLIN) | 9597 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data mining. |
| 9 (RLIN) | 3907 |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Discrete mathematics. |
| 9 (RLIN) | 12873 |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Artificial Intelligence. |
| 9 (RLIN) | 3407 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Probability and Statistics in Computer Science. |
| 9 (RLIN) | 31857 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Data Mining and Knowledge Discovery. |
| 9 (RLIN) | 126145 |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Discrete Mathematics in Computer Science. |
| 9 (RLIN) | 31837 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | van der Gaag, Linda C. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 126146 |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Feelders, Ad J. |
| Relator term | editor. |
| Relationship | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 9 (RLIN) | 126147 |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 9 (RLIN) | 126148 |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783319114323 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Printed edition: |
| International Standard Book Number | 9783319114347 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume/sequential designation | 8754 |
| 9 (RLIN) | 126149 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-319-11433-0">https://doi.org/10.1007/978-3-319-11433-0</a> |
| 912 ## - | |
| -- | ZDB-2-SCS |
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| -- | ZDB-2-SXCS |
| 912 ## - | |
| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-Lecture Notes in CS |
No items available.