Results 71 to 80 of about 1,147,666 (317)

Cloud computing survey on services, enhancements and challenges in the era of machine learning and data science

open access: yesInternational Journal of Informatics and Communication Technology (IJ-ICT), 2020
<p>Cloud computing has sweeping impact on the human productivity. Today it’s used for Computing, Storage, Predictions and Intelligent Decision Making, among others. Intelligent Decision Making using Machine Learning has pushed for the Cloud Services to be even more fast, robust and accurate. Security remains one of the major concerns which affect
Wajid Hassan   +5 more
openaire   +5 more sources

Data‐driven discovery of gene expression markers distinguishing pediatric acute lymphoblastic leukemia subtypes

open access: yesMolecular Oncology, EarlyView.
This study investigates gene expression differences between two major pediatric acute lymphoblastic leukemia (ALL) subtypes, B‐cell precursor ALL, and T‐cell ALL, using a data‐driven approach consisting of biostatistics and machine learning methods. Following analysis of a discovery dataset, we find a set of 14 expression markers differentiating the ...
Mona Nourbakhsh   +8 more
wiley   +1 more source

Technology assessment of advanced automation for space missions [PDF]

open access: yes, 1982
Six general classes of technology requirements derived during the mission definition phase of the study were identified as having maximum importance and urgency, including autonomous world model based information systems, learning and hypothesis ...

core   +1 more source

How Much Information is in a Jet?

open access: yes, 2017
Machine learning techniques are increasingly being applied toward data analyses at the Large Hadron Collider, especially with applications for discrimination of jets with different originating particles.
Datta, Kaustuv, Larkoski, Andrew
core   +1 more source

The Challenges of Machine Learning: A Critical Review

open access: yesElectronics
The concept of learning has multiple interpretations, ranging from acquiring knowledge or skills to constructing meaning and social development. Machine Learning (ML) is considered a branch of Artificial Intelligence (AI) and develops algorithms that can
Enrico Barbierato, Alice Gatti
semanticscholar   +1 more source

Causal Machine Learning and its use for public policy

open access: yesSwiss Journal of Economics and Statistics, 2023
In recent years, microeconometrics experienced the ‘credibility revolution’, culminating in the 2021 Nobel prices for David Card, Josh Angrist, and Guido Imbens.
M. Lechner
semanticscholar   +1 more source

Circulating tumor DNA monitoring and blood tumor mutational burden in patients with metastatic solid tumors treated with atezolizumab

open access: yesMolecular Oncology, EarlyView.
In patients treated with atezolizumab as a part of the MyPathway (NCT02091141) trial, pre‐treatment ctDNA tumor fraction at high levels was associated with poor outcomes (radiographic response, progression‐free survival, and overall survival) but better sensitivity for blood tumor mutational burden (bTMB).
Charles Swanton   +17 more
wiley   +1 more source

Optimaztion of Fantasy Basketball Lineups via Machine Learning [PDF]

open access: yes, 2019
Machine learning is providing a way to glean never before known insights from the data that gets recorded every day. This paper examines the application of machine learning to the novel field of Daily Fantasy Basketball.
Earl, James
core   +1 more source

An empirical analysis of machine learning frameworks for digital pathology in medical science

open access: yesJournal of Physics: Conference Series, 2021
Digital pathology is a technology that allows pathological information created from a digital slide to be accessed, handled, and interpreted. Using optical pathology scanners, glass slides are collected and transformed to digitized glass slides that can ...
S.K.B. Sangeetha   +4 more
semanticscholar   +1 more source

Machine learning for identifying liver and pancreas cancers through comprehensive serum glycopeptide spectra analysis: a case‐control study

open access: yesMolecular Oncology, EarlyView.
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy