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Now showing items 61-64 of 64
A Natural Language Interface for Mobile Devices
(2018-03-01)
Creating a robust, automated capability to respond to natural language requests has been a longstanding goal in the development of intelligent systems. This article describes the StartMobile system, originally developed ...
Towards Understanding Generalization via Analytical Learning Theory
(2018-10-01)
This paper introduces a novel measure-theoretic theory for machine learning
that does not require statistical assumptions. Based on this theory, a new
regularization method in deep learning is derived and shown to ...
Using Dynamic Monitoring to Synthesize Models of Applications That Access Databases
(2018-09-27)
We previously developed Konure, a tool that uses active learning to
infer the functionality of database applications. An alternative
approach is to observe the inputs, outputs, and database traffic from a
running ...
Gen: A General-Purpose Probabilistic Programming System with Programmable Inference
(2018-11-26)
Probabilistic modeling and inference are central to many fields. A key challenge for wider adoption of probabilistic programming languages is designing systems that are both flexible and performant. This paper introduces ...