rank with

释义

列为；

Learning to rank with nonsmooth cost functions
Large scale image annotation: learning to rank with joint word-image embeddings
Learning to Rank with Nonsmooth Cost Functions
How to rank with few errors
How to rank with few errors
CLiMF:learning to maximize reciprocal rank with collaborative less-is-more filtering
Searching in one billion vectors: Re-rank with source coding
Searching in one billion vectors: Re-rank with source coding
List-wise learning to rank with matrix factorization for collaborative filtering
The Minimum Rank with Hysteresis Objective Function