Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Niharika Gauraha"'
Autor:
Andrea Morger, Fredrik Svensson, Staffan Arvidsson McShane, Niharika Gauraha, Ulf Norinder, Ola Spjuth, Andrea Volkamer
Publikováno v:
Journal of Cheminformatics, Vol 13, Iss 1, Pp 1-14 (2021)
Abstract Machine learning methods are widely used in drug discovery and toxicity prediction. While showing overall good performance in cross-validation studies, their predictive power (often) drops in cases where the query samples have drifted from t
Externí odkaz:
https://doaj.org/article/8fe425216aae4b26b97229dddbe63ab8
Autor:
Swapan K. Parui, Niharika Gauraha
Publikováno v:
Annals of Mathematics and Artificial Intelligence. 88:951-972
The fundamental concepts underlying Markov networks are the conditional independence and the set of rules called Markov properties that translate conditional independence constraints into graphs. We introduce the concept of mutual conditional indepen
Autor:
Morger, Andrea, Svensson, Fredrik, McShane, Staffan Arvidsson, Niharika Gauraha, Norinder, Ulf, Spjuth, Ola, Volkamer, Andrea
Additional file 1: Table S1. Number of compounds available per Tox21 dataset and endpoint before standardisation. Table S2. Mean ± standard deviation values over all twelve endpoints for observed error rate and efficiency at SL 0.2 for all experimen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::97463968530368254b771e9e1c2ae1c0
Autor:
Spjuth, Ola, Niharika Gauraha
Presentation by Ola Spjuth at the conference International Conference on Pattern Recognition Applications and Methods ICPRAM 2021 - http://www.icpram.org/.Large and distributed data sets pose many challenges for machine learning, including requiremen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a29e8d8dc79e70974b4916da0491ba08
Autor:
Niharika Gauraha
Publikováno v:
Resonance. 23:439-464
The term ‘high-dimensional’ refers to the case where the number of unknown parameters to be estimated, p, is of much larger order than the number of observations, n, that is p ≫ n. Since traditional statistical methods assume many observations
Autor:
Niharika Gauraha
Publikováno v:
Journal of Modern Applied Statistical Methods. 16:545-577
We present a comprehensive study of graphical log-linear models for contingency tables. High dimensional contingency tables arise in many areas such as computational biology, collection of survey and census data and others. Analysis of contingency ta
Autor:
Niharika Gauraha
We would like to begin by stating that we have not fully understood the formulation of V-matrix conceptually. However, We are fascinated by the idea of estimation of conditional probability function without assuming any probabilistic model. In this s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d3055fed1659ed384fce6f73f2effbf1
https://doi.org/10.31219/osf.io/tw73b
https://doi.org/10.31219/osf.io/tw73b
Presentation held by Niharika Gauraha at the conference "Conformal Prediction and Probabilistic Predictions with Applicationsi (COPA) 2018".
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::41b6d799e133c6c1dd2c27294e63df9a
Publikováno v:
ICPRAM
Lasso and sub-sampling based techniques (e. g. Stability Selection) are nowadays most commonly used methods for detecting the set of active predictors in high-dimensional linear models. The consist ...
Autor:
Niharika Gauraha
Publikováno v:
ICPRAM
Variable selection in high dimensional regression problems with strongly correlated variables or with near linear dependence among few variables remains one of the most important issues. We propose to cluster the variables first and then do stability