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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 9001–9050 of 9051 papers

TitleStatusHype
Diversity and Social Network Structure in Collective Decision Making: Evolutionary Perspectives with Agent-Based Simulations—0
Submodular Optimization with Submodular Cover and Submodular Knapsack Constraints—0
Multilabel Classification through Random Graph Ensembles—0
Mapping the stereotyped behaviour of freely-moving fruit fliesCode0
A Computational Model of Two Cognitive Transitions Underlying Cultural Evolution—0
An Agent-based Model of the Cognitive Mechanisms Underlying the Origins of Creative Cultural Evolution—0
EVOC: A Computer Model of the Evolution of Culture—0
A Systematic Exploration of Diversity in Machine Translation—0
Meme and Variations: A Computer Model of Cultural Evolution—0
A Comparative Analysis of Ensemble Classifiers: Case Studies in Genomics—0
Why SOV might be initially preferred and then lost or recovered? A theoretical framework—0
Language diversity and implications for Language technology in the Multilingual Europe—0
Sparse and Non-Negative BSS for Noisy DataCode0
How Did Humans Become So Creative? A Computational Approach—0
Knapsack Constrained Contextual Submodular List Prediction with Application to Multi-document Summarization—0
Positive Diversity Tuning for Machine Translation System Combination—0
An Overview of the Research on Texture Based Plant Leaf Classification—0
Continuous Inference in Graphical Models with Polynomial Energies—0
DAEBAK!: Peripheral Diversity for Multilingual Word Sense Disambiguation—0
Graph-Based Discriminative Learning for Location Recognition—0
Story-Driven Summarization for Egocentric Video—0
Tracking Sports Players with Context-Conditioned Motion Models—0
Part Discovery from Partial Correspondence—0
Improving NSGA-II with an Adaptive Mutation Operator—0
Learning Policies for Contextual Submodular Prediction—0
On the universality of cognitive tests—0
Feature Selection Based on Term Frequency and T-Test for Text Categorization—0
Modified Soft Brood Crossover in Genetic Programming—0
A Massively Parallel Associative Memory Based on Sparse Neural Networks—0
Hybrid Maximum Likelihood Modulation Classification Using Multiple Radios—0
A Grid-Based Evolutionary Algorithm for Many-Objective OptimizationCode0
Data-driven, PCFG-based and Pseudo-PCFG-based Models for Chinese Dependency Parsing—0
Selecting Diverse Features via Spectral Regularization—0
Priors for Diversity in Generative Latent Variable Models—0
When does cyclic dominance lead to stable spiral waves?—0
Beefmoves: Dissemination, Diversity, and Dynamics of English Borrowings in a German Hip Hop Forum—0
Towards Automatic Gesture Stroke Detection—0
Coreference in Spoken vs. Written Texts: a Corpus-based Analysis—0
Challenges in the Knowledge Base Population Slot Filling Task—0
Evaluating automatic cross-domain Dutch semantic role annotation—0
Similarity-based Learning via Data Driven Embeddings—0
Manifold Precis: An Annealing Technique for Diverse Sampling of Manifolds—0
Improving Topic Coherence with Regularized Topic Models—0
Structured Determinantal Point Processes—0
Microbiome profiling by Illumina sequencing of combinatorial sequence-tagged PCR products—0
An Agent-based Simulation of the Effectiveness of Creative Leadership—0
Solving the apparent diversity-accuracy dilemma of recommender systemsCode0
How Creative Should Creators Be To Optimize the Evolution of Ideas? A Computational Model—0
Modeling Cultural Dynamics—0
Dynamic Range Independent Image Quality Assessment—0
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