[BOOK][B] Algorithmic learning in a random world
Vladimir Vovk Alexander Gammerman Glenn Shafer Second Edition Page 1 Vladimir Vovk
Alexander Gammerman Glenn Shafer Algorithmic Learning in a Random World Second …
Alexander Gammerman Glenn Shafer Algorithmic Learning in a Random World Second …
Controlling organoid symmetry breaking uncovers an excitable system underlying human axial elongation
The human embryo breaks symmetry to form the anterior-posterior axis of the body. As the
embryo elongates along this axis, progenitors in the tail bud give rise to tissues that …
embryo elongates along this axis, progenitors in the tail bud give rise to tissues that …
Structure and evolution of neuronal wiring receptors and ligands
One of the fundamental properties of a neuronal circuit is the map of its connections. The
cellular and developmental processes that allow for the growth of axons and dendrites …
cellular and developmental processes that allow for the growth of axons and dendrites …
A context aware system for driving style evaluation by an ensemble learning on smartphone sensors data
There are many systems to evaluate driving style based on smartphone sensors without
enough awareness from the context. To cover this gap, we propose a new system namely …
enough awareness from the context. To cover this gap, we propose a new system namely …
Malicious node detection using machine learning and distributed data storage using blockchain in WSNs
In the proposed work, blockchain is implemented on the Base Stations (BSs) and Cluster
Heads (CHs) to register the nodes using their credentials and also to tackle various security …
Heads (CHs) to register the nodes using their credentials and also to tackle various security …
Prediction of early unplanned intensive care unit readmission in a UK tertiary care hospital: a cross-sectional machine learning approach
Objectives Unplanned readmissions to the intensive care unit (ICU) are highly undesirable,
increasing variance in care, making resource planning difficult and potentially increasing …
increasing variance in care, making resource planning difficult and potentially increasing …
Photovoltaic module temperature prediction using various machine learning algorithms: Performance evaluation
This paper presents data-driven models for photovoltaic module temperature prediction and
analyzes the relation and effects of ambient conditions to module temperature. A total of 12 …
analyzes the relation and effects of ambient conditions to module temperature. A total of 12 …
Computational design of (100) alloy surfaces for the hydrogen evolution reaction
With the rapid development of kinetically-controlled techniques, synthesis of cubic bimetallic
catalysts with tunable components and compositions becomes possible. In recent years …
catalysts with tunable components and compositions becomes possible. In recent years …
Engineered porous nanocomposites that deliver remarkably low carbon capture energy costs
A key barrier to the use of carbon dioxide capture technologies is the operating energy
requirement, the chief contributor being the energy required to regenerate the capture …
requirement, the chief contributor being the energy required to regenerate the capture …
Using transfer learning for improved mortality prediction in a data-scarce hospital setting
Algorithm–based clinical decision support (CDS) systems associate patient-derived health
data with outcomes of interest, such as in-hospital mortality. However, the quality of such …
data with outcomes of interest, such as in-hospital mortality. However, the quality of such …