Learning classifiers from only positive and unlabeled data
- 24 August 2008
- conference paper
- conference paper
- Published by Association for Computing Machinery (ACM)
Abstract
No abstract availableThis publication has 19 references indexed in Scilit:
- The Molecular Biology Database Collection: 2008 updateNucleic Acids Research, 2007
- A note on Platt’s probabilistic outputs for support vector machinesMachine Learning, 2007
- PSoL: a positive sample only learning algorithm for finding non-coding RNA genesBioinformatics, 2006
- TCDB: the Transporter Classification Database for membrane transport protein analyses and informationNucleic Acids Research, 2006
- Learning from positive and unlabeled examplesTheoretical Computer Science, 2005
- Single-Class Classification with Mapping ConvergenceMachine Learning, 2005
- Pebl:web page classification without negative examplesIEEE Transactions on Knowledge and Data Engineering, 2004
- Support Vector Data DescriptionMachine Learning, 2004
- The SWISS-PROT protein knowledgebase and its supplement TrEMBL in 2003Nucleic Acids Research, 2003
- Estimating the Support of a High-Dimensional DistributionNeural Computation, 2001