Titlebook: Artificial Intelligence: Methodology, Systems, and Applications; 16th International C Gennady Agre,Pascal Hitzler,Sergei O. Kuznetsov Confe

Console

骚动

Repatriate

我说不重要

Differentiation of the Script Using Adjacent Local Binary Patternsin script characteristics, the statistical analysis shows the differences between scripts. Accordingly, the linear discrimination function is proposed to distinct the scripts. The proposed method is tested on the samples of the printed documents, which include Cyrillic and Glagolitic script. The results of experiments are encouraging.

占卜者

干旱

Learning Probabilistic Semantic Network of Object-Oriented Action and Activityons and their contextual activities. In this method, visual motion feature classes of actions and activities are learned by an unsupervised Incremental Probabilistic Latent Component Analysis (IPLCA) and these classes and their semantic tags in the form of case triplets are integrated into probabili

Etymology

Semantic-Aware Expert Partitioning different keywords is initially formed by pooling all the keywords of all the expert profiles. The semantic distance between each pair of keywords is then calculated and the keywords are partitioned by using a clustering algorithm. Each expert is further represented by a vector of membership degree

神秘

User-Level Opinion Propagation Analysis in Discussion Forum Threadspinions on various subjects of interest. In online discussion forums, there is often a mixture of positive and negative opinions because users may have similar or conflicting opinions on the same subject. Therefore, it is challenging to track the flow of opinions over time in online discussion forum

有恶臭

Social News Feed Recommendersed on content and social trust as the trust is selected as more reliable for recommendation. In order the news to get old in time a decay factor for the score is proposed. Both offline and online evaluation are made as the feedbacks shows that users find the application interesting and useful.

Hangar

Boolean Matrix Factorisation for Collaborative Filtering: An FCA-Based Approach experiments on real data (MovieLens dataset) we compare the approach with an SVD-based one in terms of Mean Average Error (MAE). One of the experimental consequences is that it is enough to have a binary-scaled rating data to obtain almost the same quality in terms of MAE by BMF as for the SVD-base