Higher-order chemical sensing
A Hierlemann, R Gutierrez-Osuna - Chemical reviews, 2008 - ACS Publications
Desired properties of a chemical sensor include high sensitivity, a large dynamic range, high
selectivity or specificity to a target analyte, related low cross-sensitivity to interferents, perfect …
selectivity or specificity to a target analyte, related low cross-sensitivity to interferents, perfect …
Deep learning in high voltage engineering: A literature review
Condition monitoring of high voltage apparatus is of much importance for the maintenance
of electric power systems. Whether it is detecting faults or partial discharges that take place …
of electric power systems. Whether it is detecting faults or partial discharges that take place …
[PDF][PDF] Nas-bench-301 and the case for surrogate benchmarks for neural architecture search
ABSTRACT Neural Architecture Search (NAS) is a logical next step in the automatic learning
of representations, but the development of NAS methods is slowed by high computational …
of representations, but the development of NAS methods is slowed by high computational …
Hierarchical density estimates for data clustering, visualization, and outlier detection
An integrated framework for density-based cluster analysis, outlier detection, and data
visualization is introduced in this article. The main module consists of an algorithm to …
visualization is introduced in this article. The main module consists of an algorithm to …
[图书][B] Data mining with decision trees: theory and applications
Decision trees have become one of the most powerful and popular approaches in
knowledge discovery and data mining; it is the science of exploring large and complex …
knowledge discovery and data mining; it is the science of exploring large and complex …
Mean shift: A robust approach toward feature space analysis
D Comaniciu, P Meer - IEEE Transactions on pattern analysis …, 2002 - ieeexplore.ieee.org
A general non-parametric technique is proposed for the analysis of a complex multimodal
feature space and to delineate arbitrarily shaped clusters in it. The basic computational …
feature space and to delineate arbitrarily shaped clusters in it. The basic computational …
[图书][B] Statistical pattern recognition
AR Webb - 2003 - books.google.com
Statistical pattern recognition is a very active area of study andresearch, which has seen
many advances in recent years. New andemerging applications-such as data mining, web …
many advances in recent years. New andemerging applications-such as data mining, web …
Gender gaps in urban mobility
Mobile phone data have been extensively used to study urban mobility. However, studies
based on gender-disaggregated large-scale data are still lacking, limiting our understanding …
based on gender-disaggregated large-scale data are still lacking, limiting our understanding …
[图书][B] Computational statistics
GH Givens, JA Hoeting - 2012 - books.google.com
This new edition continues to serve as a comprehensive guide to modern and classical
methods of statistical computing. The book is comprised of four main parts spanning the …
methods of statistical computing. The book is comprised of four main parts spanning the …
[图书][B] Pattern classification using ensemble methods
L Rokach - 2009 - books.google.com
Researchers from various disciplines such as pattern recognition, statistics, and machine
learning have explored the use of ensemble methodology since the late seventies. Thus …
learning have explored the use of ensemble methodology since the late seventies. Thus …