Journal ArticleDOI
Pattern Recognition and Machine Learning
TLDR
This book covers a broad range of topics for regular factorial designs and presents all of the material in very mathematical fashion and will surely become an invaluable resource for researchers and graduate students doing research in the design of factorial experiments.Abstract:
(2007). Pattern Recognition and Machine Learning. Technometrics: Vol. 49, No. 3, pp. 366-366.read more
Citations
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Journal ArticleDOI
Classes and continua of hippocampal CA1 inhibitory neurons revealed by single-cell transcriptomics.
Kenneth D. Harris,Hannah Hochgerner,Nathan G. Skene,Nathan G. Skene,Lorenza Magno,Linda Katona,Carolina Bengtsson Gonzales,Peter Somogyi,Nicoletta Kessaris,Sten Linnarsson,Jens Hjerling-Leffler +10 more
TL;DR: The results elucidate the complexity of inhibitory neurons in one of the simplest cortical structures and show that characterizing these cells requires continuous modes of variation as well as discrete cell classes.
Journal ArticleDOI
Mining Travel Patterns from Geotagged Photos
TL;DR: This study aims to leverage the wealth of these enriched online photos to analyze people’s travel patterns at the local level of a tour destination by building a statistically reliable database of travel paths from a noisy pool of community-contributed geotagged photos on the Internet.
Proceedings ArticleDOI
AirCloud: a cloud-based air-quality monitoring system for everyone
TL;DR: This work presents the design, implementation, and evaluation of AirCloud -- a novel client-cloud system for pervasive and personal air-quality monitoring at low cost, and shows that AirCloud is able to achieve good accuracies at much lower cost than previous solutions.
Proceedings ArticleDOI
Composite hashing with multiple information sources
Dan Zhang,Fei Wang,Luo Si +2 more
TL;DR: The focus of the new research problem is to design an algorithm for incorporating the features from different information sources into the binary hashing codes efficiently and effectively, and to propose an algorithm CHMIS-AW (CHMIS with Adjusted Weights) for learning the codes.
Journal ArticleDOI
The power of prediction with social media
Harald Schoen,Daniel Gayo-Avello,Panagiotis Takis Metaxas,Eni Mustafaraj,Markus Strohmaier,Peter A. Gloor +5 more
TL;DR: It is argued that statistical models seem to be the most fruitful approach to apply to make predictions from social media data in the field of social media-based prediction and forecasting.