Results 11 to 20 of about 5,538,102 (159)

SZZ unleashed: an open implementation of the SZZ algorithm - featuring example usage in a study of just-in-time bug prediction for the Jenkins project [PDF]

MaLTeSQuE@ESEC/SIGSOFT FSE, 2019
Machine learning applications in software engineering often rely on detailed information about bugs. While issue trackers often contain information about when bugs were fixed, details about when they were introduced to the system are often absent.
Markus Borg, O. Svensson, Kristian Berg, Daniel Hansson   +3 more
semanticscholar   +1 more source

Adapting a Kidney Exchange Algorithm to Align with Human Values [PDF]

AAAI Conference on Artificial Intelligence, 2018
The efficient allocation of limited resources is a classical problem in economics and computer science. In kidney exchanges, a central market maker allocates living kidney donors to patients in need of an organ.
Rachel Freedman, Jana Schaich Borg, Walter Sinnott-Armstrong, John P. Dickerson, Vincent Conitzer   +4 more
semanticscholar   +1 more source

Tight bounds for mixing of the Swendsen–Wang algorithm at the Potts transition point [PDF]

arXiv.org, 2010
We study two widely used algorithms for the Potts model on rectangular subsets of the hypercubic lattice $${\mathbb{Z}^{d}}$$—heat bath dynamics and the Swendsen–Wang algorithm—and prove that, under certain circumstances, the mixing in these algorithms ...
C. Borgs, J. Chayes, P. Tetali
semanticscholar   +1 more source

Composite type-2 biomarker strategy versus a symptom–risk-based algorithm to adjust corticosteroid dose in patients with severe asthma: a multicentre, single-blind, parallel group, randomised controlled trial

The Lancet Respiratory Medicine, 2020
Summary Background Asthma treatment guidelines recommend increasing corticosteroid dose to control symptoms and reduce exacerbations. This approach is potentially flawed because symptomatic asthma can occur without corticosteroid responsive type-2 (T2 ...
L. Heaney, J. Busby, C. Hanratty, R. Djukanović, A. Woodcock, S. Walker, T. Hardman, J. Arron, D. Choy, P. Bradding, C. Brightling, R. Chaudhuri, D. Cowan, A. Mansur, S. Fowler, R. Niven, P. Howarth, J. Lordan, A. Menzies-Gow, T. Harrison, D. Robinson, C. Holweg, J. Matthews, I. Pavord, Ian M Adnam Mary Catherine Michelle Clare Richard W Ch Adcock Azim Bellamy Borg Bourne Connolly Costello , I. Adcock, A. Azim, M. Bellamy, C. Borg, M. Bourne, C. Connolly, R. Costello, C. Corrigan, Sarah E. Davies, G. Davies, K. Chung, Gabrielle Gainsborough, T. Grandison, B. Hargadon, A. Horn, V. Hudson, D. Jackson, S. Johnston, G. Jones, Paula McCourt, María Nuñez, D. Shaw, Katherine Smith, Joel Solis, R. Stone, Freda Yang   +50 more
semanticscholar   +1 more source

Entropy-SGD: biasing gradient descent into wide valleys [PDF]

International Conference on Learning Representations, 2016
This paper proposes a new optimization algorithm called Entropy-SGD for training deep neural networks that is motivated by the local geometry of the energy landscape.
P. Chaudhari, A. Choromańska, Stefano Soatto, Yann LeCun, Carlo Baldassi, C. Borgs, J. Chayes, Levent Sagun, R. Zecchina   +8 more
semanticscholar   +1 more source

The bias for statistical significance in sport and exercise medicine.

Journal of Science and Medicine in Sport, 2023
OBJECTIVES We aimed to examine the bias for statistical significance using published confidence intervals in sport and exercise medicine research. DESIGN Observational study.
D. Borg, A. Barnett, Aaron R. Caldwell, Nicole M. White, I. Stewart   +4 more
semanticscholar   +1 more source

Ambulatory Long-Term Oxygen Therapy in Patients with Severe COPD: A Randomized Crossover Trial to Compare Constant-Minute-Volume and Constant-Bolus Systems

International Journal of COPD, 2023
Daniel Sebastian Majorski,1 Saba Gul Khan,1 Sarah Bettina Stanzel,1 Maximilian Wollsching-Strobel,1 Doreen Kroppen,1 Tim Mathes,2 Maximilian Zimmermann,1 Wolfram Windisch,1 Friederike Sophie Magnet1 1Department of Pneumology, Cologne Merheim Hospital ...
Majorski DS, Khan SG, Stanzel SB, Wollsching-Strobel M, Kroppen D, Mathes T, Zimmermann M, Windisch W, Magnet FS   +8 more
doaj  

Revealing Network Structure, Confidentially: Improved Rates for Node-Private Graphon Estimation [PDF]

IEEE Annual Symposium on Foundations of Computer Science, 2018
Motivated by growing concerns over ensuring privacy on social networks, we develop new algorithms and impossibility results for fitting complex statistical models to network data subject to rigorous privacy guarantees.
C. Borgs, J. Chayes, Adam D. Smith, Ilias Zadik   +3 more
semanticscholar   +1 more source

VIC-Borg: Multiobjective automatic calibration toolkit for VIC model

SoftwareX
Calibrating hydrological model parameters is crucial for ensuring the models' predictive accuracy, which is fundamental for informed decision-making.
Jinfeng Ma, Hua Zheng, Ruonan Li, Kaifeng Rao, Yanzheng Yang, Weifeng Li   +5 more
doaj   +1 more source

Version [2.0] - [VIC-Borg: Multiobjective automatic calibration toolkit for VIC model]

SoftwareX
The VIC-Borg tool facilitates multi-objective automatic calibration for the variable infiltration capacity (VIC) model, but its efficiency was constrained by single-machine performance.
Jinfeng Ma, Hua Zheng, Ruonan Li, Kaifeng Rao, Yanzheng Yang, Weifeng Li   +5 more
doaj   +1 more source