Artificial Intelligence: Methodology, Systems, and Applications
Springer International Publishing (Verlag)
978-3-319-10553-6 (ISBN)
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.
| Erscheint lt. Verlag | 23.9.2014 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XIX, 302 p. 80 illus. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 498 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Constrained optimization • desciption logic • description logic • features selection • Image Segmentation • Knowledge Representation and Reasoning • learning in probalibistic graphical models • Natural Language Processing • Neural networks • particle swam optimization • Recommender Systems • semantic network • supervised learning |
| ISBN-10 | 3-319-10553-1 / 3319105531 |
| ISBN-13 | 978-3-319-10553-6 / 9783319105536 |
| Zustand | Neuware |
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