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Testing For An Unusual Distribution Of Rare Variants

Rivas, Manuel A.; Voight, Benjamin F.; Devlin, Bernie; … - 2011

Technological advances make it possible to use high-throughput sequencing as a primary discovery tool of medical genetics, specifically for assaying rare variation. Still this approach faces the analytic challenge that the influence of very rare variants can only be evaluated effectively as a...

Persistent link: https://www.econbiz.de/10009431924

Estimating extreme value cumulative distribution functions using bias-corrected kernel approaches

Bolancé, Catalina; Bahraoui, Zuhair; Alemany, Ramon - Xarxa de Referència en Economia Aplicada (XREAP) - 2015

We propose a new kernel estimation of the cumulative distribution function based on transformation and on bias reducing techniques. We derive the optimal bandwidth that minimises the asymptotic integrated mean squared error. The simulation results show that our proposed kernel estimation...

Persistent link: https://www.econbiz.de/10011124481

A Systematic Study of Feature Selection Methods for Learning to Rank Algorithms

Shirzad, Mehrnoush Barani; Keyvanpour, Mohammad Reza - In: International Journal of Information Retrieval Research … 8 (2018) 3, pp. 46-67

This article describes how feature selection for learning to rank algorithms has become an interesting issue. While noisy and irrelevant features influence performance, and result in an overfitting problem in ranking systems, reducing the number of features by illuminating irrelevant and noisy...

Persistent link: https://www.econbiz.de/10012045578

Learning to evaluate and recommend query in restaurant search systems

Chen, Xian; Shin, Hyoseop; Lee, Hyang-won - In: Information systems and e-business management : ISeB 15 (2017) 1, pp. 51-68

Persistent link: https://www.econbiz.de/10011711670

Towards Inference and Learning in Dynamic Bayesian Networks using Generalized Evidence

Langmead, Christopher J. - 2008

This report introduces a novel approach to performing inference and learning in Dynamic Bayesian Networks (DBN). The … traditional approach to inference and learning in DBNs involves conditioning on one or more finite-length observation sequences … solving inference problems (i.e., computing P(X|Φ)) and learning problems (i.e., computing P(Θ|Φ)) using techniques from the …

Persistent link: https://www.econbiz.de/10009441211

On approximating max-stable processes and constructing extremal copula functions

Zhang, Zhengjun - In: Statistical Inference for Stochastic Processes 12 (2009) 1, pp. 89-114

Persistent link: https://www.econbiz.de/10005616059

Recent advances in operations research in computational biology, bioinformatics and medicine

Turkay, Metin; Felici, Giovanni; Szachniuk, Marta; … - In: RAIRO / Operations research 50 (2016) 2, pp. 327-330

Persistent link: https://www.econbiz.de/10011672862

Advancing computational biology and bioinformatics research through open innovation competitions

Blasco, Andrea; Endres, Michael G.; Sergeev, Rinat A.; … - 2019

Persistent link: https://www.econbiz.de/10012063033

A computational perception of locating multiple longest common subsequence in DNA sequences

Tamilpavai, G.; Padhma, R. Sripathy; Vishnuppriya, C. - In: International journal of intelligent enterprise 7 (2020) 1/2/3, pp. 93-106

Persistent link: https://www.econbiz.de/10012177253

Joint cumulative distribution functions for Dempster–Shafer belief structures using copulas

Yager, Ronald R. - In: Fuzzy optimization and decision making : a journal of … 12 (2013) 4, pp. 393-414

Persistent link: https://www.econbiz.de/10010232672

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