COPYRIGHT YEAR

2009

AUTHORS

Takashi Washio, Zhi-Hua Zhou

TYPE

Proceedings

TITLE

Advances in Machine Learning

DESCRIPTION

N/A

PUBLISHER

Springer Berlin Heidelberg

BOOK (manifestation)

  • Book: 978-3-642-05224-8 (eBook)
  • Book: 978-3-642-05223-1 (Book)

  • Related objects

    ORGANIZATION

  • Osaka University
  • Nanjing University

  • CONFERENCE

  • Conference: Asian Conference On Machine Learning

  • CHAPTERS

  • BookChapter: Automatic Choice of Control Measurements
  • BookChapter: Density Ratio Estimation: A New Versatile Tool for Machine Learning
  • BookChapter: Community Detection on Weighted Networks: A Variational Bayesian Method
  • BookChapter: Injecting Structured Data to Generative Topic Model in Enterprise Settings
  • BookChapter: A Reformulation of Support Vector Machines for General Confidence Functions
  • BookChapter: Machine Learning and Ecosystem Informatics: Challenges and Opportunities
  • BookChapter: Cost-Sensitive Boosting: Fitting an Additive Asymmetric Logistic Regression Model
  • BookChapter: Improving Adaptive Bagging Methods for Evolving Data Streams
  • BookChapter: Weighted Nonnegative Matrix Co-Tri-Factorization for Collaborative Prediction
  • BookChapter: On Compressibility and Acceleration of Orthogonal NMF for POMDP Compression
  • BookChapter: Feature Selection via Maximizing Neighborhood Soft Margin
  • BookChapter: Estimating Likelihoods for Topic Models
  • BookChapter: Privacy-Preserving Evaluation of Generalization Error and Its Application to Model and Attribute Selection
  • BookChapter: Accurate Probabilistic Error Bound for Eigenvalues of Kernel Matrix
  • BookChapter: Context-Aware Online Commercial Intention Detection
  • BookChapter: Max-margin Multiple-Instance Learning via Semidefinite Programming
  • BookChapter: Monte-Carlo Tree Search in Poker Using Expected Reward Distributions
  • BookChapter: Building a Decision Cluster Forest Model to Classify High Dimensional Data with Multi-classes
  • BookChapter: Linear Time Model Selection for Mixture of Heterogeneous Components
  • BookChapter: A Hierarchical Face Recognition Algorithm
  • BookChapter: Learning Algorithms for Domain Adaptation
  • BookChapter: Learning Continuous-Time Information Diffusion Model for Social Behavioral Data Analysis
  • BookChapter: Coupled Metric Learning for Face Recognition with Degraded Images
  • BookChapter: Mining Multi-label Concept-Drifting Data Streams Using Dynamic Classifier Ensemble
  • BookChapter: Transfer Learning beyond Text Classification
  • BookChapter: Conditional Density Estimation with Class Probability Estimators
  • BookChapter: Query Selection via Weighted Entropy in Graph-Based Semi-supervised Classification
  • BookChapter: Averaged Naive Bayes Trees: A New Extension of AODE
  • BookChapter: Coping with Distribution Change in the Same Domain Using Similarity-Based Instance Weighting
  • BookChapter: Robust Discriminant Analysis Based on Nonparametric Maximum Entropy

  • PRODUCT MARKET CODES

  • Computer Science
  • Models And Principles
  • Data Mining And Knowledge Discovery
  • Artificial Intelligence (Incl. Robotics)
  • Computer Imaging, Vision, Pattern Recognition And Graphics
  • Image Processing And Computer Vision
  • Pattern Recognition

  • How to use: Click on a object to move its position. Double click to open its homepage. Right click to preview its contents.

    Download the RDF metadata as:   json-ld nt turtle xml License info


    26 TRIPLES      18 PREDICATES      27 URIs      12 LITERALS

    Subject Predicate Object
    1 book-editions:32c482ea9cab2ceba0d67d79d9384b5c sg:bookType Proceedings
    2 sg:chapterCount 30
    3 sg:copyrightHolder Springer-Verlag Berlin Heidelberg
    4 sg:copyrightYear 2009
    5 sg:ddsId 158238
    6 sg:editionNumber 1
    7 sg:hasConference conferences:ee8d7c674440bb3ecec4a4058fa82033
    8 sg:hasContributingOrganization grid-institutes:grid.136593.b
    9 grid-institutes:grid.41156.37
    10 sg:hasContribution contributions:bbee3ffdf887b7b5d7906c97dc5521a9
    11 contributions:e75688a6aa65f8e859bd4a29b7399b89
    12 sg:hasProductMarketCode product-market-codes:I
    13 product-market-codes:I18016
    14 product-market-codes:I18030
    15 product-market-codes:I21017
    16 product-market-codes:I22005
    17 product-market-codes:I22021
    18 product-market-codes:I2203X
    19 sg:language En
    20 sg:license http://scigraph.springernature.com/explorer/license/
    21 sg:publisher Springer Berlin Heidelberg
    22 sg:scigraphId 32c482ea9cab2ceba0d67d79d9384b5c
    23 sg:subtitle First Asian Conference on Machine Learning, ACML 2009, Nanjing, China, November 2-4, 2009. Proceedings
    24 sg:title Advances in Machine Learning
    25 rdf:type sg:BookEdition
    26 rdfs:label BookEdition: Advances in Machine Learning
    HOW TO GET THIS DATA PROGRAMMATICALLY:

    JSON-LD is a popular JSON format for linked data.

    curl -H 'Accept: application/ld+json' 'http://scigraph.springernature.com/things/book-editions/32c482ea9cab2ceba0d67d79d9384b5c'

    N-Triples is a line-based linked data format ideal for batch operations .

    curl -H 'Accept: application/n-triples' 'http://scigraph.springernature.com/things/book-editions/32c482ea9cab2ceba0d67d79d9384b5c'

    Turtle is a human-readable linked data format.

    curl -H 'Accept: text/turtle' 'http://scigraph.springernature.com/things/book-editions/32c482ea9cab2ceba0d67d79d9384b5c'

    RDF/XML is a standard XML format for linked data.

    curl -H 'Accept: application/rdf+xml' 'http://scigraph.springernature.com/things/book-editions/32c482ea9cab2ceba0d67d79d9384b5c'






    Preview window. Press ESC to close (or click here)


    ...