Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Ben Goodrich"'
Publikováno v:
Journal of Statistical Software, Vol 100, Pp 1-22 (2021)
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependen
Externí odkaz:
https://doaj.org/article/a2590689dc6f47b2b647da09437fa0d7
Autor:
Bob Carpenter, Andrew Gelman, Matthew D. Hoffman, Daniel Lee, Ben Goodrich, Michael Betancourt, Marcus Brubaker, Jiqiang Guo, Peter Li, Allen Riddell
Publikováno v:
Journal of Statistical Software, Vol 76, Iss 1, Pp 1-32 (2017)
Stan is a probabilistic programming language for specifying statistical models. A Stan program imperatively defines a log probability function over parameters conditioned on specified data and constants. As of version 2.14.0, Stan provides full Bayes
Externí odkaz:
https://doaj.org/article/eeab47293da34b2786c5276f09af19ca
Publikováno v:
Monash University
ICDM
ICDM
Support Vector Machine (SVM) parameter selection has previously been performed by minimizing the ratio of the radius of the Minimal Enclosing Ball (MEB) enclosing the training data compared to the margin of the SVM. By considering the geometric prope
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4079ddeb6837b209d8942600b3e1485b
Publikováno v:
ICRA
Accurate depth estimation remains an open problem for robotic manipulation; even state of the art techniques including structured light and LiDAR sensors fail on reflective or transparent surfaces. We address this problem by training a neural network
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa88a6aa2b740b2d33dbf94a00dd331
Publikováno v:
Journal of Statistical Software; Vol. 100 (2021); 1-22
Structural equation models comprise a large class of popular statistical models, including factor analysis models, certain mixed models, and extensions thereof. Model estimation is complicated by the fact that we typically have multiple interdependen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81e569c1902320ab72d337f5584c056f
Publikováno v:
The American Statistician. 73:307-309
The usual definition of R 2 (variance of the predicted values divided by the variance of the data) has a problem for Bayesian fits, as the numerator can be larger than the denominator. We propose an alternative definition similar to one that has appe
Publikováno v:
Journal of Clinical Anesthesia. 42:77-83
We investigated if human reminder phone calls in the patient's preferred language increase adherence with scheduled appointments in an inner-city chronic pain clinic. We hypothesized that language and cultural incongruence is the underlying mechanism
Publikováno v:
KDD
We propose a model-based metric to estimate the factual accuracy of generated text that is complementary to typical scoring schemes like ROUGE (Recall-Oriented Understudy for Gisting Evaluation) and BLEU (Bilingual Evaluation Understudy). We introduc
Autor:
Daniel Duckworth, Semih Yavuz, Chinnadhurai Sankar, Ben Goodrich, Andy Cedilnik, Bill Byrne, Arvind Neelakantan, Kyu-Young Kim, Amit Dubey, Karthik Krishnamoorthi
Publikováno v:
EMNLP/IJCNLP (1)
A significant barrier to progress in data-driven approaches to building dialog systems is the lack of high quality, goal-oriented conversational data. To help satisfy this elementary requirement, we introduce the initial release of the Taskmaster-1 d
Publikováno v:
Anesthesia and analgesia. 126(2)
BACKGROUND: US health care disparities persist despite repeated countermeasures. Research identified race, ethnicity, gender, and socioeconomic status as factors, mediated through individual provider and/or systemic biases; little research exists in