It maximizes the conditional probability of observing the responses from both the quotation stage and the decision stage, given the features and the co-clusters ...

Aug 10, 2015 · It maximizes the conditional probability of observing the responses from both the quotation stage and the decision stage, given the features and ...

Fingerprint. Dive into the research topics of 'Co-clustering based dual prediction for cargo pricing optimization'. Together they form a unique fingerprint.

It maximizes the conditional probability of observing the responses from both the quotation stage and the decision stage, given the features and the co-clusters ...

This paper targets the problem of cargo pricing optimization in the air cargo business. Given the features associated with a pair of origination and ...

Bibliographic details on Co-Clustering based Dual Prediction for Cargo Pricing Optimization.

Bibliography of Software Language Engineering in Generated Hypertext (BibSLEIGH) is created and maintained by Dr. Vadim Zaytsev. Hosted as a part of SLEBOK on ...

Co-clustering based dual prediction for cargo pricing optimization. Yada Zhu; Hongxia Yang; et al. 2015; KDD 2015. Learning from Label and Feature Heterogeneity.

Co-Clustering based Dual Prediction for Cargo Pricing Optimization. Yada Zhu; Hongxia Yang; Jingrui He. Debiasing Crowdsourced Batches. Honglei Zhuang; Aditya ...

Co-Clustering based Dual Prediction for Cargo Pricing Optimization ... This paper targets the problem of cargo pricing optimization in the air cargo business.