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Playing with the Built City Eleanor Saitta∗ Abstract Architecture and urban planning define much of the world we interact with. This has a wide variety of deep and not always immediately obvious effects—ev

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Improving the Learning Speed of 2-Layer Neural Networks by Choosing Initial Values of the Adaptive Weights Derrick Nguyen and Bernard Widrow Information Systems Laboratory Stanford University Stanford, CA 94305

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• Artificial neural networks
• Applied mathematics
• Cybernetics
• Statistics
• Backpropagation
• Artificial neuron
• Perceptron
• Sigmoid function
• Activation function
• Deep learning

W inemaking is 60% cooking. Cooking’s about taste. Taste has no rules. Red Rex is this philosophy personified. It’s an outside the box, do what tastes best blend. It’s the winemakers deep in the cave, hanging arou

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Deep-Secure Guard and Assuria Log Manager The Deep-Secure XML Guard enforces the constraints necessary to protect XML applications, combats XML-borne targeted cyber-attacks and guards against data leakage and exfiltratio

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UNIVERSITY OF MIAMI 2014 UNITED WAY Campaign Summary 2014 UNITED WAY CAMPAIGN The University of Miami’s annual United Way campaign is on of the ways in which we demonstrate our deep

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Some considerations on the complexity of deep inference based on joint works with Alessio Guglielmi, Tom Gundersen, Michel Parigot Paola Bruscoli

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Using the Dark Times Calendars Purpose My main reason for creating the Dark Times Calendars was to show, in advance, the best times for deep space astronomical observing. If I want to plan a family vacation that isn’t

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Automatically Learning Gazetteers from the Deep Web∗ Tim Furche, Giovanni Grasso, Giorgio Orsi, Christian Schallhart, Cheng Wang Oxford University Computer Science Department, Wolfson Building, Parks Road, Oxford OX1 3

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Hydrocarbon Prospectivity of the Deep Water Phu Kanh Basin, #).

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