Jan 22, 2016 · In this paper, we propose a new framework for PTQs based on threshold classification using ELM, where the probability threshold is replaced by ...

In this paper, we propose a new framework for PTQs based on threshold classification ... Optimization method based extreme learning machine for classification.

Probabilistic threshold query (PTQ), which returns all the objects satisfying the query with probabilities higher than a threshold, is widely used in ...

In this paper, we propose a new framework for PTQs based on threshold classification using ELM, where the probability threshold is replaced by the number range ...

Then a threshold classification algorithm (TCA) using ELM is proposed to set a suitable threshold for the query, where plurality voting method is applied.

Probabilistic threshold query (PTQ), which returns all the objects satisfying the query with probabilities higher than a threshold, is widely used in ...

A new framework for PTQs based on threshold classification using ELM, where the probability threshold is replaced by the number range of results which is ...

Probabilistic threshold query optimization based on threshold classification using ELM for uncertain data · Neurocomputing 174: 211-219 · 2016 · Related References.

In this paper, we study the problem of setting the optimal granularity of the partitions for uncertain objects, and propose a new framework for PGNN queries ...

In this paper, we study the problem of setting the optimal granularity of the partitions for uncertain objects, and propose a new framework for PGNN queries ...