Results 231 to 240 of about 1,526,268 (286)
Some of the next articles are maybe not open access.
Proceedings of the 2003 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.03EX693), 2004
When designing steady-state computer simulation experiments, one may be faced with the choice of batching observations in one long run or replicating a number of smaller runs. Both methods are potentially useful in the course of undertaking simulation output analysis.
Christos Alexopoulos, David Goldsman
openaire +1 more source
When designing steady-state computer simulation experiments, one may be faced with the choice of batching observations in one long run or replicating a number of smaller runs. Both methods are potentially useful in the course of undertaking simulation output analysis.
Christos Alexopoulos, David Goldsman
openaire +1 more source
Batch-to-batch Optimization of Batch Crystallization Processes
Chinese Journal of Chemical Engineering, 2008Abstract It is the fact that several process parameters are either unknown or uncertain. Therefore, an optimal control profile calculated with developed process models with respect to such process parameters may not give an optimal performance when implemented to real processes.
Woranee Paengjuntuek +2 more
openaire +1 more source
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2017
Efficiency of large-scale learning is a hot topic in both academic and industry. The stochastic gradient descent (SGD) algorithm, and its extension mini-batch SGD, allow the model to be updated without scanning the whole data set. However, the use of approximate gradient leads to the uncertainty issue, slowing down the decreasing of objective function.
Peifeng Yin, Ping Luo, Taiga Nakamura
openaire +1 more source
Efficiency of large-scale learning is a hot topic in both academic and industry. The stochastic gradient descent (SGD) algorithm, and its extension mini-batch SGD, allow the model to be updated without scanning the whole data set. However, the use of approximate gradient leads to the uncertainty issue, slowing down the decreasing of objective function.
Peifeng Yin, Ping Luo, Taiga Nakamura
openaire +1 more source
Dermatologic Clinics, 1990
One of the basic principles in the investigation of suspected contact dermatitis is always to test with the patient's "own" product or chemical, the one to which he or she was actually exposed. An equally basic second principle is not to rely solely on a positive test reaction.
openaire +2 more sources
One of the basic principles in the investigation of suspected contact dermatitis is always to test with the patient's "own" product or chemical, the one to which he or she was actually exposed. An equally basic second principle is not to rely solely on a positive test reaction.
openaire +2 more sources
Multivariate monitoring of batch processes using batch‐to‐batch information
AIChE Journal, 2004AbstractMultiway principal component analysis (MPCA) and multiway partial‐least squares (MPLS) are well‐established methods for the analysis of historical data from batch processes, and for monitoring the progress of new batches. Direct measurements made on prior batches can also be incorporated into the analysis by monitoring with multiblock methods ...
Jesus Flores‐Cerrillo +1 more
openaire +1 more source
2023
The antigen-binding ability of each antibody clone selected by phage display is usually initially ranked by a screening ELISA using monovalent scFv antibody fragments. Further characterization often requires bivalent antibody molecules such as IgG or scFv-Fc fusions.
Rico, Ballmann +3 more
openaire +2 more sources
The antigen-binding ability of each antibody clone selected by phage display is usually initially ranked by a screening ELISA using monovalent scFv antibody fragments. Further characterization often requires bivalent antibody molecules such as IgG or scFv-Fc fusions.
Rico, Ballmann +3 more
openaire +2 more sources

