Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Angelino, Elaine"'
Publikováno v:
Journal of Machine Learning Research 18(234):1-78, 2018
We present the design and implementation of a custom discrete optimization technique for building rule lists over a categorical feature space. Our algorithm produces rule lists with optimal training performance, according to the regularized empirical
Externí odkaz:
http://arxiv.org/abs/1704.01701
Autor:
Angelino, Elaine Lee
We present a general framework for accelerating a large class of widely used Markov chain Monte Carlo (MCMC) algorithms. This dissertation demonstrates that MCMC inference can be accelerated in a model of parallel computation that uses speculation to
Externí odkaz:
http://dissertations.umi.com/gsas.harvard.inactive:11849
http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070022
http://nrs.harvard.edu/urn-3:HUL.InstRepos:13070022
Datasets are growing not just in size but in complexity, creating a demand for rich models and quantification of uncertainty. Bayesian methods are an excellent fit for this demand, but scaling Bayesian inference is a challenge. In response to this ch
Externí odkaz:
http://arxiv.org/abs/1602.05221
Practitioners of Bayesian statistics have long depended on Markov chain Monte Carlo (MCMC) to obtain samples from intractable posterior distributions. Unfortunately, MCMC algorithms are typically serial, and do not scale to the large datasets typical
Externí odkaz:
http://arxiv.org/abs/1506.03074
We present a general framework for accelerating a large class of widely used Markov chain Monte Carlo (MCMC) algorithms. Our approach exploits fast, iterative approximations to the target density to speculatively evaluate many potential future steps
Externí odkaz:
http://arxiv.org/abs/1403.7265
Autor:
Angelino, Elaine, Kanade, Varun
In a seminal paper, Valiant (2006) introduced a computational model for evolution to address the question of complexity that can arise through Darwinian mechanisms. Valiant views evolution as a restricted form of computational learning, where the goa
Externí odkaz:
http://arxiv.org/abs/1309.4132
Many data structures support dictionaries, also known as maps or associative arrays, which store and manage a set of key-value pairs. A \emph{multimap} is generalization that allows multiple values to be associated with the same key. For example, the
Externí odkaz:
http://arxiv.org/abs/1104.5533
Autor:
Rosen David, Park Daniel J, Neafsey Daniel E, Mahesh Nira, Milner Danny A, Volkman Sarah K, Daniels Rachel, Angelino Elaine, Sabeti Pardis C, Wirth Dyann F, Wiegand Roger C
Publikováno v:
Malaria Journal, Vol 7, Iss 1, p 223 (2008)
Abstract Background Single nucleotide polymorphism (SNP) genotyping provides the means to develop a practical, rapid, inexpensive assay that will uniquely identify any Plasmodium falciparum parasite using a small amount of DNA. Such an assay could be
Externí odkaz:
https://doaj.org/article/1e30b9e179914a1493fab8de998b1d22
Autor:
Angelino, Elaine1, Brenner, Michael P.2 brenner@seas.harvard.edu
Publikováno v:
PLoS Computational Biology. Sep2007, Vol. 3 Issue 9, p1751-1760. 10p. 1 Chart, 9 Graphs.