„Machine learning algorithms“

Suchergebnisse

2.828 Treffer

• Building a knowledge base to assist clinical decision-making using the Pediatric Research Database (PRD) and machine learning: a case study on pediatric asthma patients
  Nagisetty, Naga ; Huang, Eunice Y. ; Wade, Grady ; Viangteeravat, Teeradache
• A two-layered machine learning method to identify protein O-GlcNAcylation sites with O-GlcNAc transferase substrate motifs
  Kao, Hui-Ju ; Huang, Chien-Hsun ; Bretaña, Neil Arvin ; Lu, Cheng-Tsung ; Huang, Kai-Yao ; Weng, Shun-Long ; Lee, Tzong-Yi
• Advanced data mining and applications
  2010 Springer
• Advanced data mining and applications
  2010 Springer
• Proceedings / 9th Mexican International Conference on Artificial Intelligence, MICAI 2010, Pachuca, Mexico, November 8 - 13, 2010. Grigori Sidorov ... (ed.)
  2010 Springer
• Detecting false positive sequence homology: a machine learning approach
  Fujimoto, M. Stanley ; Suvorov, Anton ; Jensen, Nicholas O. ; Clement, Mark J. ; Bybee, Seth M.
• Use of Attribute Driven Incremental Discretization and Logic Learning Machine to build a prognostic classifier for neuroblastoma patients
  Cangelosi, Davide ; Muselli, Marco ; Parodi, Stefano ; Blengio, Fabiola ; Becherini, Pamela ; Versteeg, Rogier ; Conte, Massimo ; Varesio, Luigi
• A review of machine learning methods to predict the solubility of overexpressed recombinant proteins in Escherichia coli
  Habibi, Narjeskhatoon ; Mohd Hashim, Siti Z. ; Norouzi, Alireza ; Samian, Mohammed Razip
• A comparative study of the svm and k-nn machine learning algorithms for the diagnosis of respiratory pathologies using pulmonary acoustic signals
  Palaniappan, Rajkumar ; Sundaraj, Kenneth ; Sundaraj, Sebastian
• From sequence to enzyme mechanism using multi-label machine learning
  De Ferrari, Luna ; Mitchell, John BO
• Efficient design of meganucleases using a machine learning approach
  Zaslavskiy, Mikhail ; Bertonati, Claudia ; Duchateau, Philippe ; Duclert, Aymeric ; Silva, George H.
• A comprehensive study of small non-frameshift insertions/deletions in proteins and prediction of their phenotypic effects by a machine learning method (KD4i)
  Bermejo-Das-Neves, Carlos ; Nguyen, Hoan-Ngoc ; Poch, Olivier ; Thompson, Julie D.
• Prediction of protein-protein interactions from amino acid sequences with ensemble extreme learning machines and principal component analysis
  You, Zhu-Hong ; Lei, Ying-Ke ; Zhu, Lin ; Xia, Junfeng ; Wang, Bing
• Logic Learning Machine creates explicit and stable rules stratifying neuroblastoma patients
  Cangelosi, Davide ; Blengio, Fabiola ; Versteeg, Rogier ; Eggert, Angelika ; Garaventa, Alberto ; Gambini, Claudio ; Conte, Massimo ; Eva, Alessandra ; Muselli, Marco ; Varesio, Luigi
• Identification and characterization of plastid-type proteins from sequence-attributed features using machine learning
  Kaundal, Rakesh ; Sahu, Sitanshu S. ; Verma, Ruchi ; Weirick, Tyler
• Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations
  Savojardo, Castrense ; Fariselli, Piero ; Martelli, Pier Luigi ; Casadio, Rita
• Cheminformatic models based on machine learning for pyruvate kinase inhibitors of Leishmania mexicana
  Jamal, Salma ; Scaria, Vinod
• A mesh generation and machine learning framework for Drosophilagene expression pattern image analysis
  Zhang, Wenlu ; Feng, Daming ; Li, Rongjian ; Chernikov, Andrey ; Chrisochoides, Nikos ; Osgood, Christopher ; Konikoff, Charlotte ; Newfeld, Stuart ; Kumar, Sudhir ; Ji, Shuiwang
• Integrative relational machine-learning for understanding drug side-effect profiles
  Bresso, Emmanuel ; Grisoni, Renaud ; Marchetti, Gino ; Karaboga, Arnaud Sinan ; Souchet, Michel ; Devignes, Marie-Dominique ; Smaïl-Tabbone, Malika
• Infection status outcome, machine learning method and virus type interact to affect the optimised prediction of hepatitis virus immunoassay results from routine pathology laboratory assays in unbalanced data
  Richardson, Alice M. ; Lidbury, Brett A.