Ad
related to: machine learning springer journal
Search results
Results From The WOW.Com Content Network
Machine Learning is a peer-reviewed scientific journal, published since 1986. In 2001, forty editors and members of the editorial board of Machine Learning resigned in order to support the Journal of Machine Learning Research (JMLR), saying that in the era of the internet, it was detrimental for researchers to continue publishing their papers ...
The Journal of Machine Learning Research is a peer-reviewed open access scientific journal covering machine learning. It was established in 2000 and the first editor-in-chief was Leslie Kaelbling. [1] The current editors-in-chief are Francis Bach and David Blei (Columbia University).
Working papers, journal articles, books, books chapters and software components. Also 70,000 author self-maintained profiles Free Yes IDEAS: private EconPapers: Örebro University School of Business PhilPapers: Philosophy: 70,000 [17] (2,540,317 metadata) Index journals, books, open access archives, and personal pages maintained by academics Free
Machine learning (ML) is a field of ... (which do often have separate conferences and separate journals, ... In 2019 Springer Nature published the first research book ...
This is a list of notable peer-reviewed scientific journals that focus on bioinformatics and computational biology. BioData Mining; Bioinformatics;
Reciprocal Human Machine Learning (RHML) is an interdisciplinary approach to designing human-AI interaction systems. [1] RHML aims to enable continual learning between humans and machine learning models by having them learn from each other. This approach keeps the human expert "in the loop" to oversee and enhance machine learning performance ...
The journal was created in response to the machine learning explosion of the 2010s. It launched in January 2019, and its opening was met with controversy and boycotts within the machine learning research community due to opposition to Nature publishing the journal as closed access. [2]
Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source), to label new data points with the desired outputs. The human user must possess knowledge/expertise in the problem domain, including the ability to consult/research authoritative sources ...