Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380558715> ?p ?o ?g. }
Showing items 1 to 69 of
69
with 100 items per page.
- W4380558715 abstract "Training a classifier exploiting a huge amount of supervised data is expensive or even prohibited in a situation, where the labeling cost is high. The remarkable progress in working with weaker forms of supervision is binary classification from multiple unlabeled datasets which requires the knowledge of exact class priors for all unlabeled datasets. However, the availability of class priors is restrictive in many real-world scenarios. To address this issue, we propose to solve a new problem setting, i.e., binary classification from multiple unlabeled datasets with only one pairwise numerical relationship of class priors (MU-OPPO), which knows the relative order (which unlabeled dataset has a higher proportion of positive examples) of two class-prior probabilities for two datasets among multiple unlabeled datasets. In MU-OPPO, we do not need the class priors for all unlabeled datasets, but we only require that there exists a pair of unlabeled datasets for which we know which unlabeled dataset has a larger class prior. Clearly, this form of supervision is easier to be obtained, which can make labeling costs almost free. We propose a novel framework to handle the MU-OPPO problem, which consists of four sequential modules: (i) pseudo label assignment; (ii) confident example collection; (iii) class prior estimation; (iv) classifier training with estimated class priors. Theoretically, we analyze the gap between estimated class priors and true class priors under the proposed framework. Empirically, we confirm the superiority of our framework with comprehensive experiments. Experimental results demonstrate that our framework brings smaller estimation errors of class priors and better performance of binary classification." @default.
- W4380558715 created "2023-06-14" @default.
- W4380558715 creator A5013161105 @default.
- W4380558715 creator A5065250332 @default.
- W4380558715 creator A5065418938 @default.
- W4380558715 creator A5068087395 @default.
- W4380558715 creator A5072744508 @default.
- W4380558715 creator A5088055918 @default.
- W4380558715 creator A5089325282 @default.
- W4380558715 date "2023-06-12" @default.
- W4380558715 modified "2023-10-16" @default.
- W4380558715 title "Making Binary Classification from Multiple Unlabeled Datasets Almost Free of Supervision" @default.
- W4380558715 doi "https://doi.org/10.48550/arxiv.2306.07036" @default.
- W4380558715 hasPublicationYear "2023" @default.
- W4380558715 type Work @default.
- W4380558715 citedByCount "0" @default.
- W4380558715 crossrefType "posted-content" @default.
- W4380558715 hasAuthorship W4380558715A5013161105 @default.
- W4380558715 hasAuthorship W4380558715A5065250332 @default.
- W4380558715 hasAuthorship W4380558715A5065418938 @default.
- W4380558715 hasAuthorship W4380558715A5068087395 @default.
- W4380558715 hasAuthorship W4380558715A5072744508 @default.
- W4380558715 hasAuthorship W4380558715A5088055918 @default.
- W4380558715 hasAuthorship W4380558715A5089325282 @default.
- W4380558715 hasBestOaLocation W43805587151 @default.
- W4380558715 hasConcept C107673813 @default.
- W4380558715 hasConcept C119857082 @default.
- W4380558715 hasConcept C12267149 @default.
- W4380558715 hasConcept C153180895 @default.
- W4380558715 hasConcept C154945302 @default.
- W4380558715 hasConcept C177769412 @default.
- W4380558715 hasConcept C184898388 @default.
- W4380558715 hasConcept C2777212361 @default.
- W4380558715 hasConcept C33923547 @default.
- W4380558715 hasConcept C41008148 @default.
- W4380558715 hasConcept C48372109 @default.
- W4380558715 hasConcept C66905080 @default.
- W4380558715 hasConcept C94375191 @default.
- W4380558715 hasConcept C95623464 @default.
- W4380558715 hasConceptScore W4380558715C107673813 @default.
- W4380558715 hasConceptScore W4380558715C119857082 @default.
- W4380558715 hasConceptScore W4380558715C12267149 @default.
- W4380558715 hasConceptScore W4380558715C153180895 @default.
- W4380558715 hasConceptScore W4380558715C154945302 @default.
- W4380558715 hasConceptScore W4380558715C177769412 @default.
- W4380558715 hasConceptScore W4380558715C184898388 @default.
- W4380558715 hasConceptScore W4380558715C2777212361 @default.
- W4380558715 hasConceptScore W4380558715C33923547 @default.
- W4380558715 hasConceptScore W4380558715C41008148 @default.
- W4380558715 hasConceptScore W4380558715C48372109 @default.
- W4380558715 hasConceptScore W4380558715C66905080 @default.
- W4380558715 hasConceptScore W4380558715C94375191 @default.
- W4380558715 hasConceptScore W4380558715C95623464 @default.
- W4380558715 hasLocation W43805587151 @default.
- W4380558715 hasOpenAccess W4380558715 @default.
- W4380558715 hasPrimaryLocation W43805587151 @default.
- W4380558715 hasRelatedWork W1679711741 @default.
- W4380558715 hasRelatedWork W2112343299 @default.
- W4380558715 hasRelatedWork W2171095014 @default.
- W4380558715 hasRelatedWork W2275058042 @default.
- W4380558715 hasRelatedWork W2556027894 @default.
- W4380558715 hasRelatedWork W2623427976 @default.
- W4380558715 hasRelatedWork W2921036759 @default.
- W4380558715 hasRelatedWork W2961085424 @default.
- W4380558715 hasRelatedWork W4221015625 @default.
- W4380558715 hasRelatedWork W3158004940 @default.
- W4380558715 isParatext "false" @default.
- W4380558715 isRetracted "false" @default.
- W4380558715 workType "article" @default.