Artificial Intelligence: Methodology, Systems, and Applications: 16th International Conference, Aimsa 2014, Varna, Bulgaria, September 11-13, 2014, Pr
| PUBLISHER | Springer (09/23/2014) |
| PRODUCT TYPE | Paperback (Paperback) |
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.
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.