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Researchers use machine learning to find out which wildfires will burn out of control（图）
machine learning social media University of California
2019/10/18
Scientists at the University of California, Irvine have developed a new technique for predicting the final size of a wildfire from the moment of ignition.Built around a machine learning algorithm, the...
Detection of Cognitive States from fMRI data using Machine Learning Techniques
Sequence Learning fMRI visuomotor Naive Bayes Classifier Support Vector machine Nearest neighbour classification
2015/7/29
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cognitive state. We consid...
Incorporating Boltzmann Machine Priors for Semantic Labeling in Images and Videos
computer vision machine learning image segmentation deep learning deep models
2014/12/18
Semantic labeling is the task of assigning category labels to regions in an image. For example, a scene may consist of regions corresponding to categories such as sky, water, and ground, or parts of a...
Softcomputing Identification Techniques of Asynchronous Machine Parameters: Evolutionary Strategy and Chemotaxis Algorithm
Asynchronous machine Identification Optimization
2009/7/28
Softcomputing techniques are receiving attention as optimisation techniques for many industrial applications. Although these techniques eliminate the need for derivatives computation, they require muc...
AN ANT COLONY SYSTEM BASED METAHEURISTIC FOR SOLVING SINGLE MACHINE SCHEDULING PROBLEM
metaheuristics manufacturing discrete optimization
2010/1/11
This paper proposes a metaheuristic for solving the Single Machine Scheduling Problem that is implemented by a hybrid system made up of an Ant Colony System and a stochastic descent algorithm called K...