Multi-disciplinary Trends in Artificial Intelligence [electronic resource] : 8th International Workshop, MIWAI 2014, Bangalore, India, December 8-10, 2014. Proceedings / edited by M. Narasimha Murty, Xiangjian He, Raghavendra Rao Chillarige, Paul Weng.
Material type:
TextLanguage: English Series: Lecture Notes in Computer Science ; 8875Publication details: Cham : Springer International Publishing, 2014.Description: 1 online resource (XII, 246 p. 86 ill.)ISBN: - 9783319133652
| Item type | Current library | Call number | Materials specified | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
|
|
National Library of India | Available | EBK000024791ENG |
"Potential Interval of Root" of Nonlinear Equation: Labeling Algorithm -- Stochastic Leaky Integrator Model for Interval Timing -- Multi-objective Exploration for Compiler Optimizations and Parameters -- Association Rule Mining via Evolutionary Multi-objective Optimization -- Distance-Based Heuristic in Selecting a DC Charging Station for Electric Vehicles -- Automated Reasoning in Deontic Logic -- Image Processing Tool for FAE Cloud Dynamics -- N-gram Based Approach for Opinion Mining of Punjabi Text -- Application of Game-Theoretic Rough Sets in Recommender Systems -- RGB - Based Color Texture Image Classification Using Anisotropic Diffusion and LDBP -- A Knowledge-Based Design for Structural Analysis of Printed Mathematical Expressions -- A New Preprocessor to Fuzzy c-Means Algorithm -- Domain Specific Sentiment Dictionary for Opinion Mining of Vietnamese Text -- Support Vector-Quantile Regression Random Forest Hybrid for Regression Problems -- Clustering Web Services on Frequent Output Parameters for I/O Based Service Search -- IntelliNavi : Navigation for Blind Based on Kinect and Machine Learning -- A Trust Metric for Online Virtual Teams and Work Groups -- Web Service Composition Using Service Maps -- Integrated Representation of Spatial Topological and Size Relations for the Semantic Web -- Using Bayesian Networks to Model and Analyze Software Product Line Feature Model -- A Content-Based Approach for User Profile Modeling and Matching on Social Networks.
There are no comments on this title.
