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Appstar is an leading electronic payment industry. It offers lot many products to its merchants which serve very useful to ...
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Bayesian Learning via Stochastic Gradient Langevin DynamicsIn this paper we propose a new framework for learning from large scale datasets based on iterative learning from small ...
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Semi-supervised Penalized Output Kernel Regression for Link PredictionLink prediction is addressed as an output kernel learning task through semi-supervised Output Kernel Regression. Working in the framework of ...
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Support Tucker MachinesIn this paper we address the two-class classification problem within the tensor-based framework, by formulating the Support Tucker Machines (STuMs). ...
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MapReduce Programming with Apache Hadoop: Part-1Note: This is the part-1 of the tutorial. Please see Mapreduce Part-2 for the rest of the presentation. Abstract: Apache ...
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Motion Control of Redundant Robots under Joint Constraints: Saturation in the Null SpaceWe present a novel efficient method addressing the inverse differential kinematics problem for redundant manipulators in the presence of different ...
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Machine Learning in Google GogglesMachine Learning in Google Goggles
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Scaling Deep LearningWe have recently started investigating how to scale deep learning techniques to much larger models in an effort to improve ...
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