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Generating Component-based Supervised Learning Programs From Crowdsourced Examples
(2017-12-21)
We present CrowdLearn, a new system that processes an existing corpus of crowdsourced machine learning programs to learn how to generate effective pipelines for solving supervised machine learning problems. CrowdLearn uses ...
Typesafety for Explicitly-Coded Probabilistic Inference Procedures
(2017-11-09)
Researchers have recently proposed several systems that ease the process of developing Bayesian probabilistic inference algorithms. These include systems for automatic inference algorithm synthesis as well as stronger ...
Multi-Unit Auction Revenue with Possibilistic Beliefs
(2017-06-05)
The revenue of traditional auction mechanisms is benchmarked solely against the players' own valuations, despite the fact that they may also have valuable beliefs about each other's valuations. Not much is known about ...
Inference and Regeneration of Programs that Manipulate Relational Databases
(2017-08-29)
We present a new technique that infers models of programs that manipulate relational databases. This technique generates test databases and input commands, runs the program, then observes the resulting outputs and updated ...
Charmonium and charmed meson spectroscopy from lattice QCD
(Proceedings of Science34th annual International Symposium on Lattice Field Theoryhttps://pos.sissa.it/cgi-bin/reader/contribution.cgi?id=256/137, 2017-01-25)
Spectra of highly excited hidden and open-charm mesons calculated on dynamical lattice QCD ensembles with a pion mass of M$_{π}$ $\sim$ 240 MeV are presented and compared to previous results obtained on a lattice where ...