Algorithmic Learning Theory (Record no. 183166)
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| fixed length control field | 05272nam a22005535i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 978-3-540-75225-7 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | DE-He213 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240423125926.0 |
| 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 | 100301s2007 gw | s |||| 0|eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783540752257 |
| -- | 978-3-540-75225-7 |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1007/978-3-540-75225-7 |
| 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 | Algorithmic Learning Theory |
| Medium | [electronic resource] : |
| Remainder of title | 18th International Conference, ALT 2007, Sendai, Japan, October 1-4, 2007, Proceedings / |
| Statement of responsibility, etc | edited by Marcus Hutter, Rocco A. Servedio, Eiji Takimoto. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. 2007. |
| 264 #1 - | |
| -- | Berlin, Heidelberg : |
| -- | Springer Berlin Heidelberg : |
| -- | Imprint: Springer, |
| -- | 2007. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | XI, 406 p. |
| Other physical details | online resource. |
| 336 ## - | |
| -- | text |
| -- | txt |
| -- | rdacontent |
| 337 ## - | |
| -- | computer |
| -- | c |
| -- | rdamedia |
| 338 ## - | |
| -- | online resource |
| -- | cr |
| -- | rdacarrier |
| 347 ## - | |
| -- | text file |
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| -- | rda |
| 490 1# - SERIES STATEMENT | |
| Series statement | Lecture Notes in Artificial Intelligence, |
| International Standard Serial Number | 2945-9141 ; |
| Volume number/sequential designation | 4754 |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Editors’ Introduction -- Editors’ Introduction -- Invited Papers -- A Theory of Similarity Functions for Learning and Clustering -- Machine Learning in Ecosystem Informatics -- Challenge for Info-plosion -- A Hilbert Space Embedding for Distributions -- Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity and Creativity -- Invited Papers -- Feasible Iteration of Feasible Learning Functionals -- Parallelism Increases Iterative Learning Power -- Prescribed Learning of R.E. Classes -- Learning in Friedberg Numberings -- Complexity Aspects of Learning -- Separating Models of Learning with Faulty Teachers -- Vapnik-Chervonenkis Dimension of Parallel Arithmetic Computations -- Parameterized Learnability of k-Juntas and Related Problems -- On Universal Transfer Learning -- Online Learning -- Tuning Bandit Algorithms in Stochastic Environments -- Following the Perturbed Leader to Gamble at Multi-armed Bandits -- Online Regression Competitive with Changing Predictors -- Unsupervised Learning -- Cluster Identification in Nearest-Neighbor Graphs -- Multiple Pass Streaming Algorithms for Learning Mixtures of Distributions in -- Language Learning -- Learning Efficiency of Very Simple Grammars from Positive Data -- Learning Rational Stochastic Tree Languages -- Query Learning -- One-Shot Learners Using Negative Counterexamples and Nearest Positive Examples -- Polynomial Time Algorithms for Learning k-Reversible Languages and Pattern Languages with Correction Queries -- Learning and Verifying Graphs Using Queries with a Focus on Edge Counting -- Exact Learning of Finite Unions of Graph Patterns from Queries -- Kernel-Based Learning -- Polynomial Summaries of Positive Semidefinite Kernels -- Learning Kernel Perceptrons on Noisy Data Using Random Projections -- Continuityof Performance Metrics for Thin Feature Maps -- Other Directions -- Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability -- Pseudometrics for State Aggregation in Average Reward Markov Decision Processes -- On Calibration Error of Randomized Forecasting Algorithms. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | This volume contains the papers presented at the 18th International Conf- ence on Algorithmic Learning Theory (ALT 2007), which was held in Sendai (Japan) during October 1–4, 2007. The main objective of the conference was to provide an interdisciplinary forum for high-quality talks with a strong theore- cal background and scienti?c interchange in areas such as query models, on-line learning, inductive inference, algorithmic forecasting, boosting, support vector machines, kernel methods, complexity and learning, reinforcement learning, - supervised learning and grammatical inference. The conference was co-located with the Tenth International Conference on Discovery Science (DS 2007). This volume includes 25 technical contributions that were selected from 50 submissions by the ProgramCommittee. It also contains descriptions of the ?ve invited talks of ALT and DS; longer versions of the DS papers are available in the proceedings of DS 2007. These invited talks were presented to the audience of both conferences in joint sessions. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data mining. |
| 650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial Intelligence. |
| 650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Data Mining and Knowledge Discovery. |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Hutter, Marcus. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Servedio, Rocco A. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Takimoto, Eiji. |
| Relator term | editor. |
| Relator code | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | SpringerLink (Online service) |
| 773 0# - HOST ITEM ENTRY | |
| Title | Springer Nature eBook |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783540752240 |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Display text | Printed edition: |
| International Standard Book Number | 9783540844297 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | Lecture Notes in Artificial Intelligence, |
| -- | 2945-9141 ; |
| Volume number/sequential designation | 4754 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://doi.org/10.1007/978-3-540-75225-7">https://doi.org/10.1007/978-3-540-75225-7</a> |
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| -- | ZDB-2-LNC |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks-CSE-Springer |
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