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Network Maximal Correlation
(2015-09-21)
Identifying nonlinear relationships in large datasets is a daunting task particularly when the form of the nonlinearity is unknown. Here, we introduce Network Maximal Correlation (NMC) as a fundamental measure to capture ...
Designing a Context-Sensitive Context Detection Service for Mobile Devices
(2015-09-24)
This paper describes the design, implementation, and evaluation of Amoeba, a context-sensitive context detection service for mobile devices. Amoeba exports an API that allows a client to express interest in one or more ...
PhD Thesis Proposal: Human-Machine Collaborative Optimization via Apprenticeship Scheduling
(2015-07-02)
Resource optimization in health care, manufacturing, and military operations requires the careful choreography of people and equipment to effectively fulfill the responsibilities of the profession. However, resource ...
Representation Discovery for Kernel-Based Reinforcement Learning
(2015-11-24)
Recent years have seen increased interest in non-parametric reinforcement learning. There are now practical kernel-based algorithms for approximating value functions; however, kernel regression requires that the underlying ...
Prophet: Automatic Patch Generation via Learning from Successful Patches
(2015-07-13)
We present Prophet, a novel patch generation system that learns a probabilistic model over candidate patches from a database of past successful patches. Prophet defines the probabilistic model as the combination of a ...
Deep Learning without Poor Local Minima
(2016-05-23)
In this paper, we prove a conjecture published in 1989 and also partially address an open problem announced at the Conference on Learning Theory (COLT) 2015. For an expected loss function of a deep nonlinear neural network, ...
An Analysis of the Search Spaces for Generate and Validate Patch Generation Systems
(2016-02-18)
We present the first systematic analysis of the characteristics of patch search spaces for automatic patch generation systems. We analyze the search spaces of two current state-of- the-art systems, SPR and Prophet, with ...
Delphi: A Software Controller for Mobile Network Selection
(2016-02-25)
This paper presents Delphi, a mobile software controller that helps applications select the best network among available choices for their data transfers. Delphi optimizes a specified objective such as transfer completion ...
Jenga: Harnessing Heterogeneous Memories through Reconfigurable Cache Hierarchies
(2015-12-19)
Conventional memory systems are organized as a rigid hierarchy, with multiple levels of progressively larger and slower memories. Hierarchy allows a simple, fixed design to benefit a wide range of applications, because ...
Outlier Detection in Heterogeneous Datasets using Automatic Tuple Expansion
(2016-02-08)
Rapidly developing areas of information technology are generating massive amounts of data. Human errors, sensor failures, and other unforeseen circumstances unfortunately tend to undermine the quality and consistency of ...