Recent theoretical and empirical work in statistical machine learning has demonstrated the importance of learning algorithms for deep architectures, i.e., function classes obtaine...
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
—An energy-efficient, reliable and timely data transmission is essential for wireless sensor networks (WSNs) employed in scenarios where plant information must be available for ...
Pan Gun Park, Carlo Fischione, Alvise Bonivento, K...
The potential for physical flora collections to support scientific research is being enhanced by rapid development of digital databases that represent characteristics of the physic...
Tom Auer, Alan M. MacEachren, Craig McCabe, Scott ...
Reducing the energy footprint of data centers continues to receive significant attention due to both its financial and environmental impact. There are numerous methods that limi...
Navin Sharma, Sean Barker, David Irwin, Prashant J...