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Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

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Showing 8901–8925 of 9051 papers

TitleStatusHype
Portfolio optimization for heavy-tailed assets: Extreme Risk Index vs. Markowitz—0
Rank diversity of languages: Generic behavior in computational linguistics—0
A Two-Layer Local Constrained Sparse Coding Method for Fine-Grained Visual Categorization—0
Cooperative Intergroup Mating Can Overcome Ethnocentrism in Diverse Populations—0
CommentWatcher: An Open Source Web-based platform for analyzing discussions on web forumsCode0
An Active Learning Based Approach For Effective Video Annotation And Retrieval—0
When Hillclimbers Beat Genetic Algorithms in Multimodal Optimization—0
Estimation of genetic diversity in viral populations from next generation sequencing data with extremely deep coverage—0
Structural Learning of Diverse Ranking—0
Topic-focused Dynamic Information Filtering in Social Media—0
Negatively Correlated Search—0
A multi-platform metabolomics approach identifies novel biomarkers associated with bacterial diversity in the human vagina—0
Predicting Complete 3D Models of Indoor ScenesCode0
An Online Approach to Dynamic Channel Access and Transmission Scheduling—0
A New Repair Operator for Multi-objective Evolutionary Algorithm in Constrained Optimization Problems—0
Using novelty-biased GA to sample diversity in graphs satisfying constraints—0
Block-Wise MAP Inference for Determinantal Point Processes with Application to Change-Point Detection—0
On Extreme Pruning of Random Forest Ensembles for Real-time Predictive Applications—0
Learning to Detect Vehicles by Clustering Appearance Patterns—0
Hierarchical learning of grids of microtopics—0
Latent Gaussian Processes for Distribution Estimation of Multivariate Categorical DataCode0
Information entropy as an anthropomorphic concept—0
An investigation into language complexity of World-of-Warcraft game-external texts—0
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification—0
Life history evolution and the origin of multicellularity: differentiation of types, energy constraints, non-linear curvatures of trade-off functions—0
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