000 | 07449nam a22006015i 4500 | ||
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001 | 978-3-642-13059-5 | ||
003 | DE-He213 | ||
005 | 20140220084537.0 | ||
007 | cr nn 008mamaa | ||
008 | 100511s2010 gw | s |||| 0|eng d | ||
020 |
_a9783642130595 _9978-3-642-13059-5 |
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024 | 7 |
_a10.1007/978-3-642-13059-5 _2doi |
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050 | 4 | _aQ334-342 | |
050 | 4 | _aTJ210.2-211.495 | |
072 | 7 |
_aUYQ _2bicssc |
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072 | 7 |
_aTJFM1 _2bicssc |
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_aCOM004000 _2bisacsh |
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082 | 0 | 4 |
_a006.3 _223 |
100 | 1 |
_aFarzindar, Atefeh. _eeditor. |
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245 | 1 | 0 |
_aAdvances in Artificial Intelligence _h[electronic resource] : _b23rd Canadian Conference on Artificial Intelligence, Canadian AI 2010, Ottawa, Canada, May 31 – June 2, 2010. Proceedings / _cedited by Atefeh Farzindar, Vlado Kešelj. |
264 | 1 |
_aBerlin, Heidelberg : _bSpringer Berlin Heidelberg, _c2010. |
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300 |
_aXVI, 426p. 77 illus. _bonline resource. |
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336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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_aonline resource _bcr _2rdacarrier |
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_atext file _bPDF _2rda |
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490 | 1 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v6085 |
|
505 | 0 | _aInvited Talks -- Acquisition of ‘Deep’ Knowledge from Shallow Corpus Statistics -- University and Industry Partnership in NLP, Is It Worth the “Trouble”? -- Corpus-Based Term Relatedness Graphs in Tag Recommendation -- Regular Papers -- Improving Multiclass Text Classification with Error-Correcting Output Coding and Sub-class Partitions -- Offensive Language Detection Using Multi-level Classification -- A Three-Way Decision Approach to Email Spam Filtering -- Hierarchical Approach to Emotion Recognition and Classification in Texts -- Supervised Machine Learning for Summarizing Legal Documents -- Toward a Gold Standard for Extractive Text Summarization -- MeSH Represented MEDLINE Query Results -- Argumentation-Based Reasoning with Inconsistent Knowledge Bases -- Finding a Single, All, or the Most Probable Solution to a Finite or Non-finite Interval Algebra Network -- A Dynamic Pricing Approach in E-Commerce Based on Multiple Purchase Attributes -- The IMAP Hybrid Method for Learning Gaussian Bayes Nets -- Feature Subset-Wise Mixture Model-Based Clustering via Local Search Algorithm -- Cascading Customized Naïve Bayes Couple -- Semi-supervised Probability Propagation on Instance-Attribute Graphs -- Offline Recognition of Handwritten Numeral Characters with Polynomial Neural Networks Using Topological Features -- Automatic Parameter Settings for the PROAFTN Classifier Using Hybrid Particle Swarm Optimization -- The Ant Search Algorithm: An Ant Colony Optimization Algorithm for the Optimal Searcher Path Problem with Visibility -- Automatic Discovery of Network Applications: A Hybrid Approach -- Overlap versus Imbalance -- Robustness of Classifiers to Changing Environments -- Belief Revision of Product-Based Causal Possibilistic Networks -- A Survey on Statistical Relational Learning -- Short Papers -- Exploiting Frame Information for Prepositional Phrase Semantic Role Labeling -- Phrase-Based Statistical Machine Translation for a Low-Density Language Pair -- Coordination of Subject Markers in Arabic and Typed Categorial Logic -- Word Reordering Approaches for Bangla-English Statistical Machine Translation -- Comparison of Feature Selection Methods for Sentiment Analysis -- Unsupervised Extraction of Appraisal Expressions -- Automatic Text Segmentation for Movie Subtitles -- Using Classifier Performance Visualization to Improve Collective Ranking Techniques for Biomedical Abstracts Classification -- Annotation Concept Synthesis and Enrichment Analysis -- Using Learned PSR Model for Planning under Uncertainty -- Notes on Generating Satisfiable SAT Instances Using Random Subgraph Isomorphism -- A Model for Reasoning about Interaction with Users in Dynamic, Time Critical Environments for the Application of Hospital Decision Making -- A Novel Approach for Recommending Ranked User-Generated Reviews -- A Semantic Model for Social Recommender Systems -- Winner Determination Based on Preference Elicitation Methods -- A Domain Ontology Model for Mould Design Automation -- Dynamic Reasoning for Description Logic Terminologies -- Deep Distributed News: Ontologies to the Rescue of Journalism -- Improving Bayesian Learning Using Public Knowledge -- Potential AI Strategies to Solve the Commons Game: A Position Paper -- Score Calibration for Optimal Biometric Identification -- Detection of Mine-Like Objects Using Restricted Boltzmann Machines -- Data Mining Techniques for Proactive Fault Diagnostics of Electronic Gaming Machines -- Multivariate Decision Trees Using Different Splitting Attribute Subsets for Large Datasets -- Using Non Boolean Similarity Functions for Frequent Similar Pattern Mining -- Evaluation of Rare Event Detection -- CAI-GS 2010 Graduate Student Symposium -- On Multi-robot Area Coverage -- Exploiting Rhetorical Relations in Blog Summarization -- Peer-Based Intelligent Tutoring Systems: A Corpus-Oriented Approach -- On Sketch Based Anonymization That Satisfies Differential Privacy Model -- Predicting Optimal Constraint Satisfaction Methods -- A Computer Approach for Face Aging Problems -- Automatically Expanding the Lexicon of Roget’s Thesaurus -- Privacy Preserving Publication of Longitudinal Health Data -- Reasoning about Interaction for Hospital Decision Making -- Semantic Annotation Using Ontology and Bayesian Networks -- Optimizing Advisor Network Size in a Personalized Trust-Modelling Framework for Multi-agent Systems -- An Adaptive Trust and Reputation System for Open Dynamic Environment. | |
520 | _aThis book constitutes the refereed proceedings of the 23rd Conference on Artificial Intelligence, Canadian AI 2010, held in Ottawa, Canada, in May/June 2010. The 22 revised full papers presented together with 26 revised short papers, 12 papers from the graduate student symposium and the abstracts of 3 keynote presentations were carefully reviewed and selected from 90 submissions. The papers are organized in topical sections on text classification; text summarization and IR; reasoning and e-commerce; probabilistic machine learning; neural networks and swarm optimization; machine learning and data mining; natural language processing; text analytics; reasoning and planning; e-commerce; semantic web; machine learning; and data mining. | ||
650 | 0 | _aComputer science. | |
650 | 0 | _aData mining. | |
650 | 0 | _aInformation storage and retrieval systems. | |
650 | 0 | _aInformation systems. | |
650 | 0 | _aArtificial intelligence. | |
650 | 0 | _aTranslators (Computer programs). | |
650 | 0 | _aOptical pattern recognition. | |
650 | 1 | 4 | _aComputer Science. |
650 | 2 | 4 | _aArtificial Intelligence (incl. Robotics). |
650 | 2 | 4 | _aPattern Recognition. |
650 | 2 | 4 | _aLanguage Translation and Linguistics. |
650 | 2 | 4 | _aInformation Systems Applications (incl.Internet). |
650 | 2 | 4 | _aInformation Storage and Retrieval. |
650 | 2 | 4 | _aData Mining and Knowledge Discovery. |
700 | 1 |
_aKešelj, Vlado. _eeditor. |
|
710 | 2 | _aSpringerLink (Online service) | |
773 | 0 | _tSpringer eBooks | |
776 | 0 | 8 |
_iPrinted edition: _z9783642130588 |
830 | 0 |
_aLecture Notes in Computer Science, _x0302-9743 ; _v6085 |
|
856 | 4 | 0 | _uhttp://dx.doi.org/10.1007/978-3-642-13059-5 |
912 | _aZDB-2-SCS | ||
912 | _aZDB-2-LNC | ||
999 |
_c112184 _d112184 |