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Articles 1 - 9 of 9
Full-Text Articles in Physical Sciences and Mathematics
Comparison Of Suppression Across Frequencies, Linda M. Thibodeau, Marc A. Fagelson
Comparison Of Suppression Across Frequencies, Linda M. Thibodeau, Marc A. Fagelson
Marc A. Fagelson
Strength Of Bentonite Water-Well Annulus Seals In Confined Aquifers, Fred Ogden
Strength Of Bentonite Water-Well Annulus Seals In Confined Aquifers, Fred Ogden
Fred L. Ogden
The advantages of bentonite clay for sealing applications are well known. Bentonites have extremely low permeability, do not affect formation water chemistry, and have the ability to swell and deform in response to subsurface changes. The major limitation on the applicability of bentonite for water well annulus sealing is strength. Strength tests conducted in a physical model of a water well identified the expected magnitude of shear strength for several commercially available bentonite well-sealing products. The dependence of bentonite strength in the annulus of a water well on both setting time and borehole geometry is discussed. Force balance calculations for …
The Other Ninety-Six Percent, John C. Dernbach
A Note On Computing Eigenvalues Of Banded Hermitian Toeplitz Matrices, William F. Trench
A Note On Computing Eigenvalues Of Banded Hermitian Toeplitz Matrices, William F. Trench
William F. Trench
No abstract provided.
Robust Reinforcement Learning In Motion Planning, Satinder P. Singh, Andrew G. Barto, Roderic Grupen, Christopher Connolly
Robust Reinforcement Learning In Motion Planning, Satinder P. Singh, Andrew G. Barto, Roderic Grupen, Christopher Connolly
Roderic Grupen
While exploring to find better solutions, an agent performing on-line reinforcement learning (RL) can perform worse than is acceptable. In some cases, exploration might have unsafe, or even catastrophic, results, often modeled in terms of reaching 'failure' states of the agent's environment. This paper presents a method that uses domain knowledge to reduce the number of failures during exploration. This method formulates the set of actions from which the RL agent composes a control policy to ensure that exploration is conducted in a policy space that excludes most of the unacceptable policies. The resulting action set has a more abstract …
Log-Negative Binomial Regression As A Generalized Linear Model, Joseph Hilbe
Log-Negative Binomial Regression As A Generalized Linear Model, Joseph Hilbe
Joseph M Hilbe
The negative binomial (NB) is a member of the exponential family of discrete probability distributions. The nature of the distribution is itself well understood, but its contribution to regression modeling, in particular as a generalized linear model (GLM), has not been appreciated. The mathematical properties of the negative binomial are derived and GLM algorithms are developed for both the canonical and log form. Geometric regression is seen as an instance of the NB. The log forms of both may be effectively used to model types of POisson-overdispersed count data. A GLM-type algorithm is created for a general log-negative binomial regression …
Purification And Characterization Of Porin From Corn (Zea Mays L.) Mitochondria, Philadelphia University
Purification And Characterization Of Porin From Corn (Zea Mays L.) Mitochondria, Philadelphia University
Philadelphia University, Jordan
No abstract provided.
The Global Environment Facility: Financing The Treaty Obligations Of Developing Nations, John C. Dernbach
The Global Environment Facility: Financing The Treaty Obligations Of Developing Nations, John C. Dernbach
John C. Dernbach
No abstract provided.
Sliding Mode Control Of The Systems With Uncertain Direction Of Control Vector, Sergey V. Drakunov
Sliding Mode Control Of The Systems With Uncertain Direction Of Control Vector, Sergey V. Drakunov
Sergey V. Drakunov
No abstract provided.