Advances in Artificial Intelligence and Its Applications 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, Cuernavaca, Morelos, Mexico, October 25-31, 2015, Proceedings. Part II /
The two volume set LNAI 9413 + 9414 constitutes the proceedings of the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca, . Morelos, Mexico, in October 2015. The total of 98 papers presented in these proceedings was carefully reviewed and selected from...
| Corporate Authors: | Mexican International Conference on Artificial Intelligence Cuernavaca, Mexico) |
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| Other Authors: | Mexican International Conference on Artificial Intelligence, Pichardo Lagunas, Obdulia,, Herrera Alcántara, Oscar,, Arroyo Figueroa, Gustavo,, SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham :
Springer,
2015.
|
| Physical Description: |
1 online resource (XXIX, 619 pages) : illustrations. |
| Series: |
Lecture notes in computer science ;
9414. Lecture notes in computer science. Lecture notes in artificial intelligence. LNCS sublibrary. Artificial intelligence. |
| Subjects: |
| Summary: |
The two volume set LNAI 9413 + 9414 constitutes the proceedings of the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca, . Morelos, Mexico, in October 2015. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 297 submissions. They were organized in topical sections named: natural language processing; logic and multi-agent systems; bioinspired algorithms; neural networks; evolutionary algorithms; fuzzy logic; machine learning and data mining; natural language processing applications; educational applications; biomedical applications; image processing and computer vision; search and optimization; forecasting; and intelligent applications. |
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| Item Description: |
The two volume set LNAI 9413 + 9414 constitutes the proceedings of the 14th Mexican International Conference on Artificial Intelligence, MICAI 2015, held in Cuernavaca, . Morelos, Mexico, in October 2015. The total of 98 papers presented in these proceedings was carefully reviewed and selected from 297 submissions. They were organized in topical sections named: natural language processing; logic and multi-agent systems; bioinspired algorithms; neural networks; evolutionary algorithms; fuzzy logic; machine learning and data mining; natural language processing applications; educational applications; biomedical applications; image processing and computer vision; search and optimization; forecasting; and intelligent applications. English. Intro; Preface; Conference Organization; Contents -- Part II; Contents -- Part I; Invited Papers; Measuring Non-compositionality of Verb-Noun Collocations Using Lexical Functions and WordNet Hypernyms; Abstract; 1 Introduction; 2 Related Work on Non-compositionality of Collocations; 3 Lexical Functions as a Concept of the Meaning-Text Theory; 3.1 Meaning-Text Theory (MTT); 3.2 Lexical Function; 3.3 Lexical Functions in Verb-Noun Collocations; 4 Non-compositionality in Terms of Lexical Function Detection Using WordNet Hypernyms; 5 Experiments; 6 Results and Discussion. 7 Conclusions and Future WorkAcknowledgements; References; Fuzzy-Probabilistic Estimation of the Electric Vehicles Energy Consumption; Abstract; 1 Introduction; 2 Methodology; 2.1 Framework; 2.2 Fuzzy-Probabilistic Methodology; 3 Numerical Example; 4 Conclusions; References; Natural Language Processing Applications; Data-Driven Unsupervised Evaluation of Automatic Text Summarization Systems; Abstract; 1 Introduction; 2 Related Work; 3 Our Approach; 4 Data; 5 Experiments. Results. Discussion; 5.1 Experiment with Informants; 5.2 Preliminary Evaluation of the Summaries. 5.3 Automatic Keywords Extraction5.4 Comparison of Keywords Given by Different Groups of Informants; 6 Conclusion and Future Work; Acknowledgements; References; Extractive Single-Document Summarization Based on Global-Best Harmony Search and a Greedy Local Optimizer; Abstract; 1 Introduction; 2 Problem Statement and Its Mathematical Formulation; 3 The Proposed Memetic Algorithm; 3.1 Greedy Local Optimizer; 4 Experiment and Evaluation; 4.1 Parameter Tuning; 4.2 Results; 5 Conclusions and Future Work; Acknowledgments; References; SVD-LDA: Topic Modeling for Full-Text Recommender Systems. 1 Introduction2 LDA and sLDA; 2.1 Latent Dirichlet Allocation; 2.2 Supervised LDA; 3 SVD in Recommender Systems; 3.1 Basic SVD Model in Collaborative Filtering; 3.2 Cold Start, Additional Information, and Content; 4 SVD-LDA; 4.1 SVD-LDA: Exact Sampling; 4.2 SVD-LDA: First Order Approximation; 4.3 Variations of SVD-LDA; 5 Evaluation; 5.1 Dataset; 5.2 RMSE Improves with LDA Training; 5.3 SVD-LDA Recommends Better Than SVD; 5.4 Predictors for Demographic Clusters; 6 Conclusion; References; Movies Recommendation Based on Opinion Mining in Twitter; 1 Introduction. 2 Classification Models for Opinion Mining2.1 Tokenization; 2.2 Pre-processing; 2.3 Classification Models; 3 Experimental Results; 3.1 Data Collection; 3.2 Tokenization Strategies; 3.3 Pre-processing Strategies; 3.4 Movies Recommendation; 4 Related Work; 5 Conclusions and Future Work; References; Inferring Sentiment-Based Priors in Topic Models; 1 Introduction; 2 Latent Dirichlet Allocation; 2.1 Notation and the Basic LDA Model; 2.2 LDA Extensions; 2.3 Topic Models for Sentiment Analysis; 3 Learning Sentiment Priors with the EM Algorithm; 4 Experimental Results; 5 Conclusion; References. |
| Physical Description: |
1 online resource (XXIX, 619 pages) : illustrations. |
| ISBN: |
9783319271019 3319271016 |
| ISSN: |
0302-9743 ; |