Recent Advances in Artificial Intelligence Research and DevelopmentJordi Vitrià, Petia Radeva, Isabel Aguiló Artificial Intelligence (AI) is a scientific field of longstanding tradition, with origins in the early years of computer science. Today AI has reached a level of maturity that allows us to build highly sophisticated systems which perform very different tasks. Nevertheless, its evolution has opened up a number of new problems, ranging from specific algorithms to system integration, which remain elusive and assure a long life for this research field. Research progress in this area is today an international challenge that must be supported by world-class meetings and organizations, but in spite of this fact, there is also an objective need for meetings and organizations that support and disseminate research at other levels. This book focuses on new and original research on Artificial Intelligence. |
Contents
Creating Ontologies from Web Documents | 11 |
Mining Sequences of Items with a Partial Order Relationship 27 | 27 |
Boosted Linear Projections for Discriminant Analysis | 45 |
Copyright | |
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Adaboost Advances in Artificial agent aggregation analysis applied approach architecture Artificial Intelligence Artificial Intelligence Research behaviour bigrams biosensor c_values Case-Based Reasoning classification Computer Computer Vision concepts considered constraints database defined described descriptors detection Development diagnosis displacement map distance distribution domain theory error estimation example extraction Figure FLDA function fuzzy logic fuzzy sets genetic algorithms global goal graph IEEE implementation input interval IOS Press item-sets iterations kernel Keywords knowledge label LAMDA linear Machine Learning matrix method methodology motion multi-agent system n-grams node object obtained ontology open n-grams optimal output paper parameters patterns performance photons pixels possible problem proposed Q-learning qualitative radial recognition representation represented robot rotor Rough Sets selected sensor sequence simulation situation solution solving space specific spectral subset Table techniques treatment Universitat variables vector Vitrià wastewater wavelet weights