Results 31 to 40 of about 1,111,397 (304)

Retarded Learning: Rigorous Results from Statistical Mechanics [PDF]

open access: yesPhys. Rev. Lett. 86(10), pp. 2174-2177, 2001, 2001
We study learning of probability distributions characterized by an unknown symmetry direction. Based on an entropic performance measure and the variational method of statistical mechanics we develop exact upper and lower bounds on the scaled critical number of examples below which learning of the direction is impossible. The asymptotic tightness of the
arxiv   +1 more source

Addressing persistent challenges in digital image analysis of cancer tissue: resources developed from a hackathon

open access: yesMolecular Oncology, EarlyView.
Large multidimensional digital images of cancer tissue are becoming prolific, but many challenges exist to automatically extract relevant information from them using computational tools. We describe publicly available resources that have been developed jointly by expert and non‐expert computational biologists working together during a virtual hackathon
Sandhya Prabhakaran   +16 more
wiley   +1 more source

Note on universal algorithms for learning theory [PDF]

open access: yesApplicationes Mathematicae (Warsaw) 34 (2007), no. 1, 47 - 52, 2018
We propose the general way of study the universal estimator for the regression problem in learning theory considered in "Universal algorithms for learning theory Part I: piecewise constant functions" and "Universal algorithms for learning theory Part II: piecewise constant functions" written by Binev, P., Cohen, A., Dahmen, W., DeVore, R., Temlyakov, V.
arxiv   +1 more source

Online Learning for Statistical Machine Translation [PDF]

open access: yesComputational Linguistics, 2016
We present online learning techniques for statistical machine translation (SMT). The availability of large training data sets that grow constantly over time is becoming more and more frequent in the field of SMT—for example, in the context of translation agencies or the daily translation of government proceedings.
openaire   +3 more sources

Machine learning, statistical learning and the future of biological research in psychiatry [PDF]

open access: yesPsychological Medicine, 2016
Psychiatric research has entered the age of ‘Big Data’. Datasets now routinely involve thousands of heterogeneous variables, including clinical, neuroimaging, genomic, proteomic, transcriptomic and other ‘omic’ measures. The analysis of these datasets is challenging, especially when the number of measurements exceeds the number of individuals, and may ...
Iniesta, R.; Stahl, D.; McGuffin, P.
openaire   +6 more sources

Integration of single‐cell and bulk RNA‐sequencing data reveals the prognostic potential of epithelial gene markers for prostate cancer

open access: yesMolecular Oncology, EarlyView.
Prostate cancer is a leading malignancy with significant clinical heterogeneity in men. An 11‐gene signature derived from dysregulated epithelial cell markers effectively predicted biochemical recurrence‐free survival in patients who underwent radical surgery or radiotherapy.
Zhuofan Mou, Lorna W. Harries
wiley   +1 more source

Optimization of the Asymptotic Property of Mutual Learning Involving an Integration Mechanism of Ensemble Learning [PDF]

open access: yes, 2007
We propose an optimization method of mutual learning which converges into the identical state of optimum ensemble learning within the framework of on-line learning, and have analyzed its asymptotic property through the statistical mechanics method.The proposed model consists of two learning steps: two students independently learn from a teacher, and ...
arxiv   +1 more source

Machine Learning in Official Statistics

open access: yes, 2018
In the first half of 2018, the Federal Statistical Office of Germany (Destatis) carried out a "Proof of Concept Machine Learning" as part of its Digital Agenda. A major component of this was surveys on the use of machine learning methods in official statistics, which were conducted at selected national and international statistical institutions and ...
Beck, Martin   +2 more
openaire   +2 more sources

Exploration of heterogeneity and recurrence signatures in hepatocellular carcinoma

open access: yesMolecular Oncology, EarlyView.
This study leveraged public datasets and integrative bioinformatic analysis to dissect malignant cell heterogeneity between relapsed and primary HCC, focusing on intercellular communication, differentiation status, metabolic activity, and transcriptomic profiles.
Wen‐Jing Wu   +15 more
wiley   +1 more source

Global solutions to folded concave penalized nonconvex learning [PDF]

open access: yesAnnals of Statistics 2016, Vol. 44, No. 2, 629-659, 2016
This paper is concerned with solving nonconvex learning problems with folded concave penalty. Despite that their global solutions entail desirable statistical properties, they lack optimization techniques that guarantee global optimality in a general setting.
arxiv   +1 more source

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