Results 21 to 30 of about 634,036 (142)

Evolving Recursive Programs using Non-recursive Scaffolding [PDF]

, 2012
Genetic programming has proven capable of evolving solutions to a wide variety of problems. However, the successes have largely been with programs without iteration or recursion; evolving recursive programs has turned out to be particularly challenging ...
Otero, Fernando E. B., Otero, Fernando E.B., Simon Thompson, Colin G. Johnson, Johnson, Colin G., Thompson, Simon, Alex A. Freitas, Moraglio, Alberto, Alberto Moraglio, Freitas, Alex A., Fernando E. B. Otero   +10 more
core   +1 more source

Tempering the Bayes Filter Towards Improved Model-Based Estimation

IEEE Open Journal of Control Systems
Model-based filtering is often carried out while subject to an imperfect model, as learning partially-observable stochastic systems remains a challenge.
Menno J. T. C. van Zutphen, Domagoj Herceg, Giannis Delimpaltadakis, Duarte J. Antunes   +3 more
doaj   +1 more source

A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model

BMC Bioinformatics, 2008
Background Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also reduce the need for animal testing.
Li Zhen, Setzer R Woodrow, Elloumi Fathi, Judson Richard, Shah Imran   +4 more
doaj   +1 more source

Empirical Bayes methodology for estimating equipment failure rates with application to power generation plants [PDF]

, 2008
Many reliability databases pool event data for equipment across different plants. Pooling may occur both within and between organizations with the intention of sharing data across common items within similar operating environments to provide better ...
Hutchison, Kenneth, Raza, M., Walls, L.A., Quigley, John   +3 more
core   +3 more sources

State-of-Charge estimation of Li-ion battery at different temperatures using particle filter

The Journal of Engineering, 2019
State-of-Charge (SOC) estimation is one of the fundamental functions undertaken by Battery Management System (BMS) in an Electric Vehicle (EV) to assess the residual service time of the battery during operation.
Venu Sangwan, Rajesh Kumar, Akshay Kumar Rathore   +2 more
doaj   +1 more source

Bootstrap Approximation to Prediction MSE for State-Space Models with Estimated Parameters

, 2004
We propose a simple but general bootstrap method for estimating the Prediction Mean Square Error (PMSE) of the state vector predictors when the unknown model parameters are estimated from the observed series.
Pfeffermann, Danny, Tiller, Richard
core   +2 more sources

Model‐Enabled Knowledge Transfer Across Cell Lines, Culture Scales and Conditions

Biotechnology and Bioengineering, EarlyView.
ABSTRACT Mechanistic models are central to quantitative understanding and optimization of Chinese hamster ovary (CHO) cell culture processes, but their utility is often restricted by parameter sets calibrated for specific cell lines, scales, or operating conditions.
Luxi Yu, Antonio del Rio Chanona, Cleo Kontoravdi   +2 more
wiley   +1 more source

EnKF and expectation‐maximization based parameter estimation of a convective gravity‐wave parameterization using Strateole 2 constant‐level balloon data

Quarterly Journal of the Royal Meteorological Society, EarlyView.
An offline methodology is applied to estimate parameters of a convective gravity‐wave scheme using momentum flux (MF) observations from constant‐level balloons (left panels: pdfs of east and west MFs in green from observations and black from EnKF). The approach integrates an ensemble Kalman filter with an expectation‐maximization algorithm and permits ...
F. Lott, P. Tandeo, M. Pulido, D. Bardet
wiley   +1 more source

A Decision tree-based attribute weighting filter for naive Bayes [PDF]

, 2006
The naive Bayes classifier continues to be a popular learning algorithm for data mining applications due to its simplicity and linear run-time. Many enhancements to the basic algorithm have been proposed to help mitigate its primary weakness--the ...
Hall, Mark A.
core  

Hexapod Locomotion Across Structured and Unstructured Terrains: A Data‐Driven Review of Modeling, Control, and Validation

Journal of Field Robotics, EarlyView.
ABSTRACT The design of a hexapod is complex and requires integration between kinematic models, control systems, and sensing. Existing literature has reviewed these sub‐systems in isolation. Since 2021, there has been no review of the field despite significant advancements in soft soil, lunar traversal, and artificial intelligence.
Akhil Rampersad, Bashan Naidoo
wiley   +1 more source