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Freeze-Thaw Bayesian Optimization [article]

Kevin Swersky and Jasper Snoek and Ryan Prescott Adams
2014 arXiv   pre-print
In this paper we develop a dynamic form of Bayesian optimization for machine learning models with the goal of rapidly finding good hyperparameter settings.  ...  We demonstrate that freeze-thaw Bayesian optimization can find good hyperparameter settings for many different models in considerably less time than ordinary Bayesian optimization. Background 2.1.  ...  In the context of freeze-thaw Bayesian optimization, a naïve model would put a Gaussian process prior over every observed training loss through time.  ... 
arXiv:1406.3896v1 fatcat:ywzwtur7rre3jpjtnsmwdqfalq

Antioxidant increase by response surface optimization and Bayesian neural network modelling of pumpkin (Cucurbita moschata Duch) freezing

Y. Kristianto, W. Wignyanto, B.D. Argo, I. Santoso
2021 Food Research  
This current study was attempted to optimize slow freezing treatment for a pumpkin to obtain maximum antioxidant gain using response surface methodology (RSM) and Bayesian regularized neural network (BRANN  ...  The RSM optimized freezing of -20oC for 9 hrs were well confirmed to produce an increase in TPC and flavonoid by 54.44% and 60.4% respectively.  ...  The freezing can also be modelled using small 2-15-1 neural networks trained with a Bayesian regularization algorithm.  ... 
doi:10.26656/fr.2017.5(3).598 fatcat:mz5rxnh2kvc75c56q3zubfm55i

Optimized Standard Operating Procedures for the Analysis of Cerebrospinal Fluid Aβ42 and the Ratios of Aβ Isoforms Using Low Protein Binding Tubes

Hugo Marcel Johan Vanderstichele, Shorena Janelidze, Leentje Demeyer, Els Coart, Erik Stoops, Victor Herbst, Kimberley Mauroo, Britta Brix, Oskar Hansson, Daniela Galimberti
2016 Journal of Alzheimer's Disease  
'Low binding' tubes reduced the loss of A␤ when aliquoting CSF or in function of additional freeze/thaw cycles.  ...  Using the A␤ 1-42 /A␤ 1-40 ratio, in contrast to A␤ 1-42 , eliminated effects of tube type, additional freeze/thaw cycles, or effect of CSF volumes for polypropylene storage tubes.  ...  ., recipient type, volumes of tubes, freeze/thaw cycles).  ... 
doi:10.3233/jad-160286 pmid:27258423 pmcid:PMC4981898 fatcat:2yjkmstd7bhszoo5uxuoumitna

Capturing variability in pavement performance models from sufficient time-series predictors: a case study of the New Brunswick road network

Luis Esteban Amador-Jiménez, Donath Mrawira
2011 Canadian journal of civil engineering (Print)  
This paper proposes the use of multi-level Bayesian modeling for calibrating mechanistic model parameters from historical data while capturing reliability by estimating a desired confidence interval of  ...  (lowest freeze-thaw cycles per year).  ...  Low volume traffic roads in New Brunswick seem to deteriorate due to the environment, because of the freeze-thaw cycles.  ... 
doi:10.1139/l10-127 fatcat:fapaxm4mxff3ten2nu2at7lj2a

Bayesian Analysis of the Effects of Olive Oil-Derived Antioxidants on Cryopreserved Buck Sperm Parameters

Ander Arando Arbulu, Francisco Javier Navas González, Alejandra Bermúdez-Oria, Juan Vicente Delgado Bermejo, África Fernández-Prior, Antonio González Ariza, Jose Manuel León Jurado, Carlos Pérez-Marín
2021 Animals  
Sperm motility, viability, acrosome integrity, mitochondrial status, and lipid peroxidation (LPO) were assessed in fresh and frozen-thawed sperm samples.  ...  For this proposal, sperm was collected, pooled and diluted in freezing media supplemented with different concentrations of HT, DHPG and the mixture (MIX) of both antioxidants.  ...  One of the reasons of the vulnerability of goat spermatozoa to freezing-thawing procedures is the composition of their plasma membrane, which contains large amounts of to centrifuge and freeze sperm.  ... 
doi:10.3390/ani11072032 fatcat:nrvif2pbhzadncqh3l6swqk57m

Hyper-parameter Tuning under a Budget Constraint [article]

Zhiyun Lu, Chao-Kai Chiang, Fei Sha
2019 arXiv   pre-print
Our algorithm combines a Bayesian belief model which estimates the future performance of configurations, with an action-value function which balances exploration-exploitation tradeoff, to optimize the  ...  We study a budgeted hyper-parameter tuning problem, where we optimize the tuning result under a hard resource constraint.  ...  Our proposed algorithm can work with any Bayesian beliefs which model the training curves. In this paper, we adopt the Freeze-Thaw GP [32].  ... 
arXiv:1902.00532v1 fatcat:f7pyxx4nwrcn3f4iq53lklqsby

Assimilating SMOS Brightness Temperature for Hydrologic Model Parameters and Soil Moisture Estimation with an Immune Evolutionary Strategy

Feng Ju, Ru An, Zhen Yang, Lijun Huang, Yaxing Sun
2020 Remote Sensing  
One possible reason is that the optimal parameters for the entire year are not suitable for the freezing/thawing period.  ...  The estimated parameters using TB observations were optimal for the entire year, but not suitable for the freezing/thawing period.  ... 
doi:10.3390/rs12101556 fatcat:sj6ier2ipbh7rectez3j7i4ohm

Bayesian Optimization for Iterative Learning [article]

Vu Nguyen and Sebastian Schulze and Michael A Osborne
2021 arXiv   pre-print
In this paper, we present a Bayesian optimization (BO) approach which exploits the iterative structure of learning algorithms for efficient hyperparameter tuning.  ...  Our algorithm outperforms all existing baselines in identifying optimal hyperparameters in minimal time.  ...  A Bayesian Optimization Preliminaries Bayesian optimization is a sequential approach to global optimization of black-box functions without making use of derivatives.  ... 
arXiv:1909.09593v5 fatcat:4kvp4aeilfdl7fiq6wfmt5toia

Comparison of thawing and freezing dark energy parametrizations

G. Pantazis, S. Nesseris, L. Perivolaropoulos
2016 Physical Review D  
This makes them suitable for fitting either freezing or thawing quintessence models but not both simultaneously.  ...  To demonstrate this fact we generate scattered cosmological data both at the level of w(z) and the luminosity distance D_L(z) based on either thawing or freezing quintessence models and fit them using  ...  What two parameter parametrization is optimal for fitting each class of models and in particular the freezing class? 2.  ... 
doi:10.1103/physrevd.93.103503 fatcat:zr2hzc42f5g27k4erdvgnyslru

Anhydrobiosis and Freezing-Tolerance: Adaptations That Facilitate the Establishment of Panagrolaimus Nematodes in Polar Habitats

Lorraine M. McGill, Adam J. Shannon, Davide Pisani, Marie-Anne Félix, Hans Ramløv, Ilona Dix, David A. Wharton, Ann M. Burnell, Wenju Liang
2015 PLoS ONE  
The early-diverging Panagrolaimus lineages are strongly anhydrobiotic but weakly freezing-tolerant, suggesting that freezing tolerance is most likely a derived trait.  ...  We found that several other Panagrolaimus isolates can also survive freezing when fully hydrated and that tissue extracts from these freezing-tolerant nematodes can inhibit the growth of ice crystals.  ...  By contrast, the optimal growth temperatures for P. davidi and P. superbus is~25°C [73, 74] , and their life cycles are~8 days at optimal temperature.  ... 
doi:10.1371/journal.pone.0116084 pmid:25747673 pmcid:PMC4352009 fatcat:ddm4kssfhnadjmo3iquobgp6uy

Hyperparameter Optimization [chapter]

Matthias Feurer, Frank Hutter
2019 Automated Machine Learning  
We first discuss blackbox function optimization methods based on model-free methods and Bayesian optimization.  ...  expensive machine learning models with many hyperparameters, such as automated machine learning (AutoML) frameworks and deep neural networks, has resulted in a resurgence of research on hyperparameter optimization  ...  Freeze-Thaw Bayesian optimization [148] is a full integration of learning curves into the modeling and selection process of Bayesian optimization.  ... 
doi:10.1007/978-3-030-05318-5_1 fatcat:kq2qut5lonhpdbnw35jswlgupa

Estimation Of Missing Or Incomplete Data In Road Performance Measurement Systems

Kristjan Kuhi, Kati K. Kaare, Ott Koppel
2013 Zenodo  
Freeze-thaw degradation: Combining freeze-thaw cycle data from road weather stations with traffic volumes from thawing periods shows possible damage caused by vehicles while pavement is more susceptible  ...  Dynamic Bayesian Networks (DBN) is an attempt to add temporal dimension into the BN model.  ... 
doi:10.5281/zenodo.1088120 fatcat:ofbxjebsybfofhyylbvn2b23he

Stability challenges not addressed by harmonized guidance – AAPS workshop of the stability focus group, April 3rd- 4th, 2017 in Rockville, MD

Mohd M. Khan, Bowen Jiang, Anthony Mazzeo, Kim Huynh-Ba
2018 AAPS Open  
Formulations should be optimized to include cryoprotectants when increase in aggregation after freeze-thawing is observed.  ...  Freeze-thaw is a common practice during biologics manufacturing.  ... 
doi:10.1186/s41120-018-0022-4 fatcat:wktipbmerbdm3lkgvsg7pfybru

Coupled Land Surface-Subsurface Hydrogeophysical Inverse Modeling to Estimate Soil Organic Content and explore associated Hydrological and Thermal Dynamics in an Arctic Tundra

Anh Phuong Tran, Baptiste Dafflon, Susan S. Hubbard
2017 The Cryosphere Discussions  
challenging to achieve due to the general limitations of conventional core sampling and analysis methods, and to the extremely dynamic nature of hydrological-thermal processes associated with annual freeze-thaw  ...  For inversion, we combine a deterministic and an adaptive Markov chain Monte Carlo (MCMC) optimization algorithm to estimate posterior distributions of desired model parameters.  ...  The stochastic optimization algorithm relies on the Bayesian inference and DRAM MCMC technique.  ... 
doi:10.5194/tc-2017-1 fatcat:ggv7zzlrmvbo7p2rltkyofvi4q

NEW METHODS OF SEMEN ANALYSIS BY CASA

C. Soler, A. Valverde, D. Bompart, S. Fereidounfar, M. Sancho, J.L. Yániz, A. García-Molina, Yu.A. Korneenko-Zhilyaev
2017 Sel skokhozyaistvennaya Biologiya  
In statistical estimation and mathematical modeling, it is proposed to use the Bayesian approach, on the basis of which a mathematical toolkit for estimating sperm quality will be developed in the near  ...  The systems with optimal rate of frame capture and transmission at images processing are developed for a twodimensional analysis of spermatozoa motility in different species with regard to the spermatozoa  ...  Effect of genistein on bull sperm after freezing and thawing New tools for new approaches.  ... 
doi:10.15389/agrobiology.2017.2.232eng fatcat:3le6jz2fqfghpft75e6rhcno6i
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