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Artificial Intelligence in Theory and Practice

Artificial Intelligence in Theory and Practice

Max Bramer

254,58 €
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Editorial:
Springer Nature B.V.
Año de edición:
2010
Materia
Inteligencia artificial
ISBN:
9781441941886
254,58 €
IVA incluido
Disponible

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Knowledge and Information Management.- Can Common Sense uncover cultural differences in computer applications?.- Artificial Intelligence and Knowledge Management.- Agents 1.- The IONWI Algorithm: Learning when and when not to interrupt.- Formal Analysis of the Communication of Probabilistic Knowledge.- Detecting and Repairing Anomalous Evolutions in Noisy Environments: Logic Programming Formalization and Complexity Results.- Adding Semantic Web Services Matching and Discovery Support to the MoviLog Platform.- Learning Browsing Patterns for Context-Aware Recommendation.- Applying Collaborative Filtering to Reputation Domain: a model for more precise reputation estimates in case of changing behavior by rated participants.- Integration of AI with other Technologies.- Combine Vector Quantization and Support Vector Machine for Imbalanced Datasets.- Ontology Support for Translating Negotiation Primitives.- Statistical Method of Context Evaluation for Biological Sequence Similarity.- Biological inspired algorithm for Storage Area Networks (ACOSAN).- Neural Nets.- Radial Basis Functions Versus Geostatistics in Spatial Interpolations.- Neural Networks applied to wireless communications.- Anomaly Detection using prior knowledge: application to TCP/IP traffic.- A study on the ability of Support Vector Regression and Neural Networks to Forecast Basic Time Series Patterns.- Neural Plasma.- Knowledge Acquisition and Data Mining.- Comparison of SVM and Some Older Classification Algorithms in Text Classification Tasks.- An automatic graph layout procedure to visualize correlated data.- Knowledge Perspectives in Data Grids.- On the Class Distribution Labelling Step Sensitivity of CO-TRAINING.- Two new feature selection algorithms with Rough Sets Theory.- Evolutionary Computation.- Global Convexity in the Bi-Criteria Traveling Salesman Problem.- Evolutionary Algorithm for State Encoding.- Hypercube FrameWork for ACO applied to timetabling.- Multitree-Multiobjective Multicast Routing for Traffic Engineering.- Speech and Natural Language.- Road Segment Identification in Natural Language Text.- Learning Discourse-new References in Portuguese Texts.- Analysing Definition Questions by Two Machine Learning Approaches.- Fuzzy Rule-Based Hand Gesture Recognition.- Comparison of distance measures for historical spelling variants.- Industrial Applications of AI.- Patterns in Temporal Series of Meteorological Variables Using SOM & TDIDT.- Applying Genetic Algorithms to Convoy Scheduling.- A GRASP algorithm to solve the problem of dependent tasks scheduling in different machines.- A support vector machine as an estimator of mountain papaya ripeness using resonant frequency or frequency centroid.- FieldPlan: Tactical Field Force Planning in BT.- An Agent Solution to Flexible Planning and Scheduling of Passenger Trips.- Machine Vision.- Facial expression recognition using shape and texture information.- Limited Receptive Area neural classifier for texture recognition of metal surfaces.- A Tracking Framework for Accurate Face Localization.- A Combination of Spatiotemporal ICA and Euclidean Features for Face Recognition.- Agents 2.- Three Technologies for Automated Trading.- Modeling Travel Assistant Agents: a graded BDI approach.- e-Tools: An agent coordination layer to support the mobility of persons with disabilities..- Expert Systems.- Conceptualization Maturity Metrics for Expert Systems.- Toward developing a tele-diagnosis system on fish disease.- A new method for fish-disease diagnostic problem solving based on parsimonious covering theory and fuzzy inference model.- Effective Prover for Minimal Inconsistency Logic.- Identification of Important News for Exchange Rate Modeling.- Planning and Scheduling.- Autonomous Search and Rescue Rotorcraft Mission Stochastic Planning with Generic DBNs.- Solving multi-objective scheduling problems-An integrated systems approach.

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