Results 261 to 270 of about 4,693,052 (300)
Efficient Generation of Megakaryocyte Progenitors and Platelets From HSPCs via JAK2/STAT3 Signaling
Advanced Science, EarlyView.This research presents a novel strategy employing the VGM cocktail, which combines HES7 overexpression with HDAC inhibitor and GABA, to enhance platelet production from hematopoietic stem and progenitor cells by promoting megakaryocyte progenitor (MkP) generation.
Huicong Liu +6 more
wiley +1 more source
Data‐Driven Design of Mechanically Hard Soft Magnetic High‐Entropy Alloys
Advanced Science, EarlyView.The design of materials that are both hard and magnetically soft is crucial for advanced technologies. This study introduces a data‐driven approach to discover high‐entropy alloys with these properties. By analyzing over 1.8 million calculations, the framework identifies promising candidates and accelerates the discovery of next‐generation ...
Mian Dai +7 more
wiley +1 more source
Advanced Science, EarlyView.Colloidal nanoparticles self‐assembly advances towards intelligent, customized assembly through precise control of binary co‐assemblies. This review explores the evolution from monolithic to binary assemblies, highlighting how the AI‐guided programmable assembly approach has the potential to shift from passive assembly to active intelligent design.
Cancan Li +5 more
wiley +1 more source
Identification and Application of a Novel Patulin Degrading Enzyme From Meyerozyma guilliermondii
Advanced Science, EarlyView.Patulin (PAT), a hazardous mycotoxin, threatens human health. A novel yeast‐derived short‐chain dehydrogenase/reductase effectively degrades PAT into nontoxic ascladiol via catalytic triad activity. The biological detoxification process has no significant effect on the quality of fresh pear juice.
Yu Zhang +7 more
wiley +1 more source
Economic Theory, 2005 The traditional model of sequential decision making, for instance, in extensive form games, is a tree. Most texts define a tree as a connected directed graph without loops and a distinguished node, called the root. But an abstract graph is not a domain for decision theory.
Carlos Alós Ferrer, Klaus Ritzberger
openaire +4 more sources
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WIREs Computational Statistics, 2013
Decision trees trace their origins to the era of the early development of written records. This history illustrates a major strength of trees: exceptionally interpretable results which have an intuitive tree‐like display which, in turn, enhances understanding and the dissemination of results. The computational origins of decision trees—sometimes called
openaire +2 more sources
Decision trees trace their origins to the era of the early development of written records. This history illustrates a major strength of trees: exceptionally interpretable results which have an intuitive tree‐like display which, in turn, enhances understanding and the dissemination of results. The computational origins of decision trees—sometimes called
openaire +2 more sources
2009
Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually large) datasets characterized by n objects (records), each one containing a set x of numerical or nominal attributes, and a special feature y designed as its outcome. Statisticians use the terms “predictors” to identify attributes and “response variable”
SICILIANO, ROBERTA, CONVERSANO, CLAUDIO
openaire +3 more sources
Decision Tree Induction (DTI) is a tool to induce a classification or regression model from (usually large) datasets characterized by n objects (records), each one containing a set x of numerical or nominal attributes, and a special feature y designed as its outcome. Statisticians use the terms “predictors” to identify attributes and “response variable”
SICILIANO, ROBERTA, CONVERSANO, CLAUDIO
openaire +3 more sources
An Extended Idea about Decision Trees
2019 International Conference on Computational Science and Computational Intelligence (CSCI), 2019Decision trees have been widely recognized as a data mining and machine learning methodology that receives a set of attribute values as the input and generates a Boolean decision as the output.
Feng-Jen Yang
semanticscholar +1 more source
New Splitting Criteria for Decision Trees in Stationary Data Streams
IEEE Transactions on Neural Networks and Learning Systems, 2018The most popular tools for stream data mining are based on decision trees. In previous 15 years, all designed methods, headed by the very fast decision tree algorithm, relayed on Hoeffding’s inequality and hundreds of researchers followed this scheme ...
Maciej Jaworski +2 more
semanticscholar +1 more source