Artificial Intelligence: Methodology, Systems, and Applications : 16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014, Proceedings (Lecture Notes in Artificial Intelligence) (2014)

個数:

Artificial Intelligence: Methodology, Systems, and Applications : 16th International Conference, AIMSA 2014, Varna, Bulgaria, September 11-13, 2014, Proceedings (Lecture Notes in Artificial Intelligence) (2014)

  • オンデマンド(OD/POD)版です。キャンセルは承れません。
  • 【入荷遅延について】
    世界情勢の影響により、海外からお取り寄せとなる洋書・洋古書の入荷が、表示している標準的な納期よりも遅延する場合がございます。
    おそれいりますが、あらかじめご了承くださいますようお願い申し上げます。
  • ◆画像の表紙や帯等は実物とは異なる場合があります。
  • ◆ウェブストアでの洋書販売価格は、弊社店舗等での販売価格とは異なります。
    また、洋書販売価格は、ご注文確定時点での日本円価格となります。
    ご注文確定後に、同じ洋書の販売価格が変動しても、それは反映されません。
  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 302 p.
  • 商品コード 9783319105536

Full Description

This book constitutes the refereed proceedings of the 16th International Conference on Artificial Intelligence: Methodology, Systems, and Applications, AIMSA 2014, held in Varna, Bulgaria in September 2014. The 14 revised full papers and 9 short papers presented were carefully reviewed and selected from 53 submissions. The range of topics is almost equally broad, from traditional areas such as computer vision and natural language processing to emerging areas such as mining the behavior of Web-based communities.

Contents

Learning Probabilistic Semantic Network of Object-oriented Action and Activity.- Semantic-aware Expert Partitioning.- User-Level Opinion Propagation Analysis in Discussion Forum Threads.- Social News Feed Recommender.- Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach.- Semi-Supervised Image Segmentation.- Analysis of Rumor Spreading in Communities Based on Modified SIR Model in Microblog.- Modeling a System for Decision Support in Snow Avalanche Warning.- Using Balanced Random Forest and Weighted Random Forest.- Applying Language Technologies on Healthcare Patient Records for Better Treatment of Bulgarian Diabetic Patients.- Incrementally Building Partially Path Consistent Qualitative Constraint Networks.- A Qualitative Spatio-Temporal Framework Based on Point Algebra.- Training Datasets Collection and Evaluation of Feature Selection Methods for Web Content Filtering.- Feature Selection by Distributions Contrasting.- Educational Data Mining for Analysis of Students' Solutions.

最近チェックした商品