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{ "item_title" : "Machine Learning and Knowledge Discovery in Databases", "item_author" : [" Hendrik Blockeel", "Kristian Kersting", "Siegfried Nijssen "], "item_description" : "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.- Medical applications.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/3/64/240/993/3642409938_b.jpg", "price_data" : { "retail_price" : "54.99", "online_price" : "54.99", "our_price" : "54.99", "club_price" : "54.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Machine Learning and Knowledge Discovery in Databases|Hendrik Blockeel

Machine Learning and Knowledge Discovery in Databases : European Conference, Ecml Pkdd 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings

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Overview

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.- Medical applications.

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Details

  • ISBN-13: 9783642409936
  • ISBN-10: 3642409938
  • Publisher: Springer
  • Publish Date: September 2013
  • Dimensions: 9.25 x 6.02 x 1.62 inches
  • Shipping Weight: 2.42 pounds
  • Page Count: 691

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