Coverart for item
The Resource Algorithmic learning theory : 18th international conference, ALT 2007, Sendai, Japan, October 1-4, 2007 : proceedings, Marcus Hutter, Rocco A. Servedio, Eiji Takimoto (eds.)

Algorithmic learning theory : 18th international conference, ALT 2007, Sendai, Japan, October 1-4, 2007 : proceedings, Marcus Hutter, Rocco A. Servedio, Eiji Takimoto (eds.)

Label
Algorithmic learning theory : 18th international conference, ALT 2007, Sendai, Japan, October 1-4, 2007 : proceedings
Title
Algorithmic learning theory
Title remainder
18th international conference, ALT 2007, Sendai, Japan, October 1-4, 2007 : proceedings
Statement of responsibility
Marcus Hutter, Rocco A. Servedio, Eiji Takimoto (eds.)
Title variation
ALT 2007
Creator
Contributor
Subject
Genre
Language
eng
Summary
This book constitutes the refereed proceedings of the 18th International Conference on Algorithmic Learning Theory, ALT 2007, held in Sendai, Japan, October 1-4, 2007, colocated with the 10th International Conference on Discovery Science, DS 2007. The 25 revised full papers presented together with the abstracts of 5 invited papers were carefully reviewed and selected from 50 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as query models, on-line learning, inductive inference, algorithmic forecasting, boosting, support vector m
Member of
Cataloging source
GW5XE
Dewey number
004
Illustrations
illustrations
Index
index present
LC call number
QA76.9.A43
LC item number
A48 2007eb
Literary form
non fiction
http://bibfra.me/vocab/lite/meetingDate
2007
http://bibfra.me/vocab/lite/meetingName
ALT 2007
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorDate
1964-
http://library.link/vocab/relatedWorkOrContributorName
  • Hutter, Marcus
  • Servedio, Rocco A
  • Takimoto, Eiji
Series statement
  • Lecture notes in computer science,
  • Lecture notes in artificial intelligence
Series volume
4754.
http://library.link/vocab/subjectName
  • Computer algorithms
  • Machine learning
  • Computer algorithms
Label
Algorithmic learning theory : 18th international conference, ALT 2007, Sendai, Japan, October 1-4, 2007 : proceedings, Marcus Hutter, Rocco A. Servedio, Eiji Takimoto (eds.)
Instantiates
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Front Matter; Editors' Introduction; Machine Learning in Ecosystem Informatics; A Hilbert Space Embedding for Distributions; Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity and Creativity; Feasible Iteration of Feasible Learning Functionals; Parallelism Increases Iterative Learning Power; Prescribed Learning of R.E. Classes; Learning in Friedberg Numberings; 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 LearningTuning Bandit Algorithms in Stochastic Environments; Following the Perturbed Leader to Gamble at Multi-armed Bandits; Online Regression Competitive with Changing Predictors; Cluster Identification in Nearest-Neighbor Graphs; Multiple Pass Streaming Algorithms for Learning Mixtures of Distributions in \mathbb Rd; Learning Efficiency of Very Simple Grammars from Positive Data; Learning Rational Stochastic Tree Languages; One-Shot Learners Using Negative Counterexamples and Nearest Positive Examples
  • Polynomial Time Algorithms for Learning k -Reversible Languages and Pattern Languages with Correction QueriesLearning and Verifying Graphs Using Queries with a Focus on Edge Counting; Exact Learning of Finite Unions of Graph Patterns from Queries; Polynomial Summaries of Positive Semidefinite Kernels; Learning Kernel Perceptrons on Noisy Data Using Random Projections; Continuity of Performance Metrics for Thin Feature Maps; Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability; Pseudometrics for State Aggregation in Average Reward Markov Decision Processes
Dimensions
unknown
Extent
1 online resource (xi, 402 pages)
Form of item
online
Isbn
9783540752257
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-540-75225-7
Other physical details
illustrations.
Specific material designation
remote
System control number
  • SPR191470200
  • ocn191470200
Label
Algorithmic learning theory : 18th international conference, ALT 2007, Sendai, Japan, October 1-4, 2007 : proceedings, Marcus Hutter, Rocco A. Servedio, Eiji Takimoto (eds.)
Publication
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
  • Front Matter; Editors' Introduction; Machine Learning in Ecosystem Informatics; A Hilbert Space Embedding for Distributions; Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity and Creativity; Feasible Iteration of Feasible Learning Functionals; Parallelism Increases Iterative Learning Power; Prescribed Learning of R.E. Classes; Learning in Friedberg Numberings; 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 LearningTuning Bandit Algorithms in Stochastic Environments; Following the Perturbed Leader to Gamble at Multi-armed Bandits; Online Regression Competitive with Changing Predictors; Cluster Identification in Nearest-Neighbor Graphs; Multiple Pass Streaming Algorithms for Learning Mixtures of Distributions in \mathbb Rd; Learning Efficiency of Very Simple Grammars from Positive Data; Learning Rational Stochastic Tree Languages; One-Shot Learners Using Negative Counterexamples and Nearest Positive Examples
  • Polynomial Time Algorithms for Learning k -Reversible Languages and Pattern Languages with Correction QueriesLearning and Verifying Graphs Using Queries with a Focus on Edge Counting; Exact Learning of Finite Unions of Graph Patterns from Queries; Polynomial Summaries of Positive Semidefinite Kernels; Learning Kernel Perceptrons on Noisy Data Using Random Projections; Continuity of Performance Metrics for Thin Feature Maps; Multiclass Boosting Algorithms for Shrinkage Estimators of Class Probability; Pseudometrics for State Aggregation in Average Reward Markov Decision Processes
Dimensions
unknown
Extent
1 online resource (xi, 402 pages)
Form of item
online
Isbn
9783540752257
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-540-75225-7
Other physical details
illustrations.
Specific material designation
remote
System control number
  • SPR191470200
  • ocn191470200

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