Search ResultsElectronic Resources 
by
Ebrahimzadeh Houlasou, Ehsan, author.
Format:
Excerpt:
. The main goal of this dissertation is to develop computational and statistical tools that can
by
Keele, Gregory R., author.
Format:
Excerpt:
statistical tools designed specifically for MPP that can better leverage the abundant genetic and phenotypic
by
Wang, Gang, author.
Format:
Excerpt:
exciting advances in non-convex optimization and statistical learning to devise algorithmic tools that are
by
Cui, Yifan, author.
Format:
Excerpt:
Random forests have become one of the most popular machine learning tools in recent years. The main
by
Huang, Weiyu, author.
Format:
Excerpt:
analysis to the graph domain. In specific, we show how these tools can be used to better classify the
by
Greene, Patrick, author.
Format:
Excerpt:
its environment, and are one of the basic tools of modern neuroscience. However, these recordings
by
Qin, Xu, author.
Format:
Excerpt:
important constraints of existing analytic tools, analysts have rarely investigated between
by
Lee, Moontae, author.
Format:
Excerpt:
billions of examples, we complete all the necessary tools to make spectral inference robust and scalable
by
Xie, Meihui, author.
Format:
Excerpt:
focusing on extending exploratory tools on Rd to S d-1 , such as the widely used Ripley's K function.
by
Skripnikov, Andrey, author.
Format:
Excerpt:
of the most popular operational tools for such data are Vector Autoregressive models (VAR), the focal

Select an Action





