Search Results - "relational learning"

Multi-relational graph attention networks for knowledge graph completion by Li, Zhifei, Zhao, Yue, Zhang, Yan, Zhang, Zhaoli

“…Knowledge graphs are multi-relational data that contain massive entities and relations. As an effective graph representation technique based on deep learning,…”
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A Review of Relational Machine Learning for Knowledge Graphs by Nickel, Maximilian, Murphy, Kevin, Tresp, Volker, Gabrilovich, Evgeniy

“…Relational machine learning studies methods for the statistical analysis of relational, or graph-structured, data. In this paper, we provide a review of how…”
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A utility-driven approach to instance-based transfer learning for relational domains by Pereira, Cainã F., Menasché, Daniel S., Zaverucha, Gerson, Paes, Aline, Barbosa, Valmir C.

“…Statistical relational learning involves exploring a complex search space of objects, their relationships, and probability parameters to find an optimal model…”
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Application of tensor factorisation for CAE model preparation from CAD assembly models by Boussuge, Flavien, Armstrong, Cecil G., Tierney, Christopher M., Robinson, Trevor T.

“…Generating fit-for-purpose CAE models from complex CAD assemblies is time consuming and error-prone. Tedious tasks include identifying and isolating the…”
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Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach by Yang, Shuo, Korayem, Mohammed, AlJadda, Khalifeh, Grainger, Trey, Natarajan, Sriraam

“…Recommendation systems usually involve exploiting the relations among known features and content that describe items (content-based filtering) or the overlap…”
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A Survey on Knowledge Graph Embedding: Approaches, Applications and Benchmarks by Dai, Yuanfei, Wang, Shiping, Xiong, Neal N., Guo, Wenzhong

“…A knowledge graph (KG), also known as a knowledge base, is a particular kind of network structure in which the node indicates entity and the edge represent…”
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A structure-enhanced generative adversarial network for knowledge graph zero-shot relational learning by Li, Xuewei, Ma, Jinming, Yu, Jian, Zhao, Mankun, Yu, Mei, Liu, Hongwei, Ding, Weiping, Yu, Ruiguo

“…Most knowledge graph completion methods focus on predicting existing relationships in the knowledge graph but cannot predict unseen relationships. To solve…”
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Inductive logic programming at 30 by Cropper, Andrew, Dumančić, Sebastijan, Evans, Richard, Muggleton, Stephen H.

“…Inductive logic programming (ILP) is a form of logic-based machine learning. The goal is to induce a hypothesis (a logic program) that generalises given…”
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Quantified neural Markov logic networks by Jung, Peter, Marra, Giuseppe, Kuželka, Ondřej

“…Markov Logic Networks (MLNs) are discrete generative models in the exponential family. However, specifying these rules requires considerable expertise and can…”
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Judgments of learning impair rule-based discovery by Double, Kit S., Tran, Dominic, Goldwater, Micah B.

“…Eliciting judgments of learning (JOLs) from participants has been shown to enhance memory recall on paired-associates tasks in some contexts, a reactivity…”
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Class-incremental learning with causal relational replay by Nguyen, Toan, Kieu, Duc, Duong, Bao, Kieu, Tung, Do, Kien, Nguyen, Thin, Le, Bac

“…In Class-Incremental Learning (Class-IL), deep neural networks often fail to learn a sequence of classes incrementally due to catastrophic forgetting, a…”
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Entrepreneurs’ Evaluations of Mentors: The Role of Value Similarities and Mentors’ Experiences by Kirsch, Julia, Dibbern, Rieke, Patzelt, Holger, Breugst, Nicola

“…Focusing on a specific form of entrepreneurship education, entrepreneurial mentoring, we take a relational mentoring perspective and develop a model of…”
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An overview of distance and similarity functions for structured data by Ontañón, Santiago

“…The notions of distance and similarity play a key role in many machine learning approaches, and artificial intelligence in general, since they can serve as an…”
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Comparison within pairs promotes analogical abstraction in three-month-olds by Anderson, Erin M., Chang, Yin-Juei, Hespos, Susan, Gentner, Dedre

“…This research tests whether analogical learning is present before language comprehension. Three-month-old infants were habituated to a series of analogous…”
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An approach to capturing and reusing tacit design knowledge using relational learning for knowledge graphs by Jia, Jia, Zhang, Yingzhong, Saad, Mohamed

“…Tacit design knowledge plays an important role in the process of product design and is a valuable knowledge asset for enterprises. In terms of the…”
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Probabilistic (logic) programming concepts by De Raedt, Luc, Kimmig, Angelika

“…A multitude of different probabilistic programming languages exists today, all extending a traditional programming language with primitives to support modeling…”
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Adaptive contextual memory graph transformer with domain-adaptive knowledge graph for aspect-based sentiment analysis by Dubey, Gaurav, Dubey, Anil Kumar, Kaur, Kamaljit, Raj, Gaurav, Kumar, Parveen

“…Aspect-Based Sentiment Analysis (ABSA) faces critical challenges, including contextual variability, implicit sentiment inference, fluctuating sentiment…”
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Lifted inference with tree axioms by van Bremen, Timothy, Kuželka, Ondřej

“…We consider the problem of weighted first-order model counting (WFOMC): given a first-order sentence ϕ and domain size n∈N, determine the weighted sum of…”
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A mathematical theory of relational generalization in transitive inference by Lippl, Samuel, Kay, Kenneth, Jensen, Greg, Ferrera, Vincent P, Abbott, L F

“…Humans and animals routinely infer relations between different items or events and generalize these relations to novel combinations of items. This allows them…”
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Language as cognitive tool kit: How language supports relational thought by Gentner, Dedre

“…The extreme version of the Whorfian hypothesis-that the language we learn determines how we view the world-has been soundly rejected by linguists and…”
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