نتایج جستجو برای: proper classification rate

تعداد نتایج: 1502572  

Journal: :iranian economic review 0
nooraddin sharify department of economics, university of mazandaran, babolsar, iran vahid taghinezhad omran department of economics, university of mazandaran, babolsar, iran tahereh valinejad ahangaree university of mazandaran

e xchange rate is an important factor influencing price indices of exported goods of a country in different ways. imported intermediate commodity is one of the important ways by which the change in exchange rate affects price indices of the exported goods. using the input-output table of iran for the year 2001, this paper investigates the impact of exchange rate devaluation on price indices of ...

Journal: :Synthese 2012

Journal: :Publications of the Research Institute for Mathematical Sciences 2007

Journal: :Annals of Statistics 2021

Human learners have the natural ability to use knowledge gained in one setting for learning a different but related setting. This transfer from task another is essential effective learning. In this paper, we study context of nonparametric classification based on observations distributions under posterior drift model, which general framework and arises many practical problems. We first establish...

Journal: :IEEE Transactions on Wireless Communications 2022

This paper considers a reconfigurable intelligent surface (RIS)-aided network, which relies on multiple antenna array aided base station (BS) and an RIS for serving single downlink users. To provide reliable links to all users over the same bandwidth time-slot, proposes joint design of linear transmit beamformers programmable reflecting coefficients maximize geometric mean (GM) users’ rates. A ...

Journal: :Journal of Machine Learning Research 2014
Shivani Agarwal

The problem of bipartite ranking, where instances are labeled positive or negative and the goal is to learn a scoring function that minimizes the probability of mis-ranking a pair of positive and negative instances (or equivalently, that maximizes the area under the ROC curve), has been widely studied in recent years. A dominant theoretical and algorithmic framework for the problem has been to ...

2013
Shivani Agarwal

The area under the ROC curve (AUC) is a widely used performance measure in machine learning, and has been widely studied in recent years particularly in the context of bipartite ranking. A dominant theoretical and algorithmic framework for AUC optimization/bipartite ranking has been to reduce the problem to pairwise classification; in particular, it is well known that the AUC regret can be form...

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