Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Advertisement

Springer Nature Link
Log in

Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III

  • Conference proceedings
  • © 2013

Overview

Editors:
  1. Hendrik Blockeel

    1. Department of Computer Science, Katholieke Universiteit Leuven, Leuven, Belgium

    You can also search for this editor inPubMed Google Scholar

  2. Kristian Kersting

    1. Fraunhofer IAIS, Department of Knowledge Discovery, Schloss Birlinghoven, University of Bonn, Sankt Augustin, Germany

    You can also search for this editor inPubMed Google Scholar

  3. Siegfried Nijssen

    1. LIACS, Universiteit Leiden, Leiden, The Netherlands

    You can also search for this editor inPubMed Google Scholar

  4. Filip Železný

    1. Department of Computer Science and Engineering, Czech Technical University, Prague 6, Czech Republic

    You can also search for this editor inPubMed Google Scholar

  • State-of-the-art research
  • Up-to-date results
  • Unique visibility

Part of the book series:Lecture Notes in Computer Science (LNCS, volume 8190)

Part of the book sub series:Lecture Notes in Artificial Intelligence (LNAI)

Included in the following conference series:

Conference proceedings info: ECML PKDD 2013.

This is a preview of subscription content,log in via an institution to check access.

Access this book

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide -see info

Tax calculation will be finalised at checkout

Other ways to access

About this book

This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications.

Similar content being viewed by others

Keywords

Table of contents (55 papers)

  2. Ensembles

    1. AR-Boost: Reducing Overfitting by a Robust Data-Driven Regularization Strategy

      • Baidya Nath Saha, Gautam Kunapuli, Nilanjan Ray, Joseph A. Maldjian, Sriraam Natarajan
      Pages 1-16

    2. Parallel Boosting with Momentum

      • Indraneel Mukherjee, Kevin Canini, Rafael Frongillo, Yoram Singer
      Pages 17-32

    3. Inner Ensembles: Using Ensemble Methods Inside the Learning Algorithm

      • Houman Abbasian, Chris Drummond, Nathalie Japkowicz, Stan Matwin
      Pages 33-48

  3. Statistical Learning

    1. Learning Discriminative Sufficient Statistics Score Space for Classification

      • Xiong Li, Bin Wang, Yuncai Liu, Tai Sing Lee
      Pages 49-64

    2. The Stochastic Gradient Descent for the Primal L1-SVM Optimization Revisited

      • Constantinos Panagiotakopoulos, Petroula Tsampouka
      Pages 65-80

    4. MORD: Multi-class Classifier for Ordinal Regression

      • Kostiantyn Antoniuk, Vojtěch Franc, Václav Hlaváč
      Pages 96-111

  4. Semi-supervised Learning

    1. Exploratory Learning

      • Bhavana Dalvi, William W. Cohen, Jamie Callan
      Pages 128-143

    2. Semi-supervised Gaussian Process Ordinal Regression

      • P. K. Srijith, Shirish Shevade, S. Sundararajan
      Pages 144-159

    3. Influence of Graph Construction on Semi-supervised Learning

      • Celso André R. de Sousa, Solange O. Rezende, Gustavo E. A. P. A. Batista
      Pages 160-175

    4. Tractable Semi-supervised Learning of Complex Structured Prediction Models

      • Kai-Wei Chang, S. Sundararajan, S. Sathiya Keerthi
      Pages 176-191

    5. PSSDL: Probabilistic Semi-supervised Dictionary Learning

      • Behnam Babagholami-Mohamadabadi, Ali Zarghami, Mohammadreza Zolfaghari, Mahdieh Soleymani Baghshah
      Pages 192-207

  5. Unsupervised Learning

    1. Embedding with Autoencoder Regularization

      • Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi
      Pages 208-223

    2. Reduced-Rank Local Distance Metric Learning

      • Yinjie Huang, Cong Li, Michael Georgiopoulos, Georgios C. Anagnostopoulos
      Pages 224-239

    4. Locally Linear Landmarks for Large-Scale Manifold Learning

      • Max Vladymyrov, Miguel Á. Carreira-Perpiñán
      Pages 256-271

  6. Subgroup Discovery, Outlier Detection and Anomaly Detection

    1. Discovering Skylines of Subgroup Sets

      • Matthijs van Leeuwen, Antti Ukkonen
      Pages 272-287

    2. Difference-Based Estimates for Generalization-Aware Subgroup Discovery

      • Florian Lemmerich, Martin Becker, Frank Puppe
      Pages 288-303

Editors and Affiliations

  • Department of Computer Science, Katholieke Universiteit Leuven, Leuven, Belgium

    Hendrik Blockeel

  • Fraunhofer IAIS, Department of Knowledge Discovery, Schloss Birlinghoven, University of Bonn, Sankt Augustin, Germany

    Kristian Kersting

  • LIACS, Universiteit Leiden, Leiden, The Netherlands

    Siegfried Nijssen

  • Department of Computer Science and Engineering, Czech Technical University, Prague 6, Czech Republic

    Filip Železný

Bibliographic Information

Publish with us

Back to top

Access this book

Subscribe and save

Springer+ Basic
¥17,985 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook JPY 5719
Price includes VAT (Japan)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book JPY 7149
Price includes VAT (Japan)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide -see info

Tax calculation will be finalised at checkout

Other ways to access

[8]ページ先頭
©2009-2025 Movatter.jp