Results 51 to 60 of about 1,101,099 (365)
Groupwise Learning to Rank Algorithm with Introduction of Activated Weighting [PDF]
Jisuanji kexue yu tansuo, 2022 Learning to rank (LtR) applies supervised machine learning (SML) technologies to the ranking problems, aiming at optimizing the relevance of input document list. As regard to previous studies on the deep ranking model, the calculation of the relevance of
LI Yuxuan, HONG Xuehai, WANG Yang, TANG Zhengzheng, BAN Yan
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Simple to Complex Cross-modal Learning to Rank [PDF]
, 1998 The heterogeneity-gap between different modalities brings a significant challenge to multimedia information retrieval. Some studies formalize the cross-modal retrieval tasks as a ranking problem and learn a shared multi-modal embedding space to measure ...
Luo, Minnan +5 more
core +3 more sources
Automatic Estimation of Ulcerative Colitis Severity by Learning to Rank With Calibration
IEEE Access, 2022 For automatic disease-severity-level estimation, a large-scale medical image dataset with level annotations is generally necessary. However, attaching absolute-level annotations (such as levels 0, 1, and 3) is very costly and even inaccurate due to the ...
Takeaki Kadota +6 more
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Learning to Rank Learning Curves
, 2020 Many automated machine learning methods, such as those for hyperparameter and neural architecture optimization, are computationally expensive because they involve training many different model configurations. In this work, we present a new method that saves computational budget by terminating poor configurations early on in the training. In contrast to
Wistuba, Martin, Pedapati, Tejaswini
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Image Retrieval Based on Learning to Rank and Multiple Loss
ISPRS International Journal of Geo-Information, 2019 Image retrieval applying deep convolutional features has achieved the most advanced performance in most standard benchmark tests. In image retrieval, deep metric learning (DML) plays a key role and aims to capture semantic similarity information carried ...
Lili Fan +4 more
doaj +1 more source
Learning to rank from medical imaging data [PDF]
, 2012 Medical images can be used to predict a clinical score coding for the severity of a disease, a pain level or the complexity of a cognitive task. In all these cases, the predicted variable has a natural order.
F. Pedregosa +11 more
core +4 more sources
Learning To Rank Diversely At Airbnb
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023 Search ranking, Diversity, e ...
Malay Haldar +5 more
openaire +2 more sources
Learning to Rank for Educational Search Engines
IEEE Transactions on Learning Technologies, 2021 In this digital age, there is an abundance of online educational materials in public and proprietary platforms. To allow effective retrieval of educational resources, it is a necessity to build keyword-based search engines over these collections.
Arif Usta +3 more
semanticscholar +1 more source
Extracting Emotion Causes Using Learning to Rank Methods From an Information Retrieval Perspective
IEEE Access, 2019 Emotion cause extraction is a challenging task for the fine-grained emotion analysis. Even though a few studies have addressed the task using clause-level classification methods, most of them have partly ignored emotion-level context information.
Bo Xu +5 more
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