Results 71 to 80 of about 2,910,377 (176)
ARIMA Model Selection and Prediction Intervals
Inference after model selection is a very important problem. Model selection algorithms for ARIMA time series, with criteria such as AIC and BIC, tend to select an inconsistent model with positive probability, making data-splitting inference for testing ...
W. A. Dhanushka M. Welagedara +2 more
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Shannon Entropy Estimation in ∞-Alphabets from Convergence Results: Studying Plug-In Estimators
This work addresses the problem of Shannon entropy estimation in countably infinite alphabets studying and adopting some recent convergence results of the entropy functional, which is known to be a discontinuous function in the space of probabilities in &
Jorge F. Silva
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Support vector machines in structural engineering: a review
Recent development in data processing systems had directed study and research of engineering towards the creation of intelligent systems to evolve models for a wide range of engineering problems.
Abdulkadir Çevik +4 more
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Manifold learning in statistical tasks
Many tasks of data analysis deal with high-dimensional data, and curse of dimensionality is an obstacle to the use of many methods for their solving.
A.V. Bernstein
doaj
Sparse coding-based multiframe superresolution for efficient synchrotron radiation microspectroscopy
In nanostructure extraction, advanced techniques like synchrotron radiation and electron microscopy are often hindered by radiation damage and charging artifacts from long exposure times.
Yasuhiko Igarashi +5 more
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Height and Weight Estimation From Anthropometric Measurements Using Machine Learning Regressions
Height and weight are measurements explored to tracking nutritional diseases, energy expenditure, clinical conditions, drug dosages, and infusion rates.
Diego Rativa +2 more
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Interactive Exploration for Image Retrieval
We present a new version of our content-based image retrieval system RETIN. It is based on adaptive quantization of the color space, together with new features aiming at representing the spatial relationship between colors.
Jérôme Fournier +3 more
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The study is carried out to investigate the surface runoff depth with changing precipitation due to climate change in the study area where sandy loam and loamy soil are dominant.
Shweta Kodihal +2 more
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Proactive distractor suppression in early visual cortex
Avoiding distraction by salient yet irrelevant stimuli is critical when accomplishing daily tasks. One possible mechanism to accomplish this is by suppressing stimuli that may be distracting such that they no longer compete for attention.
David Richter +2 more
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A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms
Consistently checking the statistical significance of experimental results is the first mandatory step towards reproducible science. This paper presents a hitchhiker's guide to rigorous comparisons of reinforcement learning algorithms.
Colas, Cédric +2 more
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