Zobrazeno 1 - 5
of 5
pro vyhledávání: '"W. Kegelmeyer"'
Autor:
Michael Smith, Nicholas Johnson, Joey Ingram, Armida Carbajal, Bridget Haus, Eva Domschot, Ramyaa Ramyaa, Christopher Lamb, Stephen Verzi, W. Kegelmeyer
Publikováno v:
Proposed for presentation at the 13th ACM Workshop on Artificial Intelligence and Security held November 13, 2020..
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1c4cdb1207c5a59535634307fbd0be5d
https://doi.org/10.2172/1831009
https://doi.org/10.2172/1831009
This SAND report summarizes the activities and outcomes of the Network and Ensemble Enabled Entity Extraction in Informal Text (NEEEEIT) LDRD project, which addressed improving the accuracy of conditional random fields for named entity recognition th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5e6f5fc4fe7dc011baf01fda9f6fc3e1
https://doi.org/10.2172/1115263
https://doi.org/10.2172/1115263
Publikováno v:
Journal of medicinal chemistry. 48(22)
In this work we introduce a postprocessing filter (PostDOCK) that distinguishes true binding ligand-protein complexes from docking artifacts (that are created by DOCK 4.0.1). PostDOCK is a pattern recognition system that relies on (1) a database of c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::711485da9148341c399792572145a22a
https://pubmed.ncbi.nlm.nih.gov/16250641
https://pubmed.ncbi.nlm.nih.gov/16250641
Autor:
Lawrence O. Hall, Clayton Springer, Nitesh V. Chawla, Kevin W. Bowyer, Thomas E. Moore, Philip W. Kegelmeyer
Publikováno v:
CVPR (2)
Bagging forms a committee of classifiers by bootstrap aggregation of training sets from a pool of training data. A simple alternative to bagging is to partition the data into disjoint subsets. Experiments on various datasets show that, given the same
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f06e8d440857916660fb03553fe85b0
https://doi.org/10.1109/cvpr.2001.991030
https://doi.org/10.1109/cvpr.2001.991030