Titlebook: Machine Learning and Knowledge Discovery in Databases. Research Track; European Conference, Albert Bifet,Jesse Davis,Indrė Žliobaitė Confer

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LayeredLiNGAM: A Practical and Fast Method for Learning a Linear Non-gaussian Structural Equation Mol (LiNGAM) is a type of SEM mainly assuming that the graph is a directed acyclic graph (DAG), the relationships are linear, and the noises follow non-Gaussian distributions. DirectLiNGAM is a popular LiNGAM learning method with applications in various fields. However, DirectLiNGAM has computational

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Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties tool for optimizing expensive and black-box experimental design processes. While Bayesian optimization is a principled data-driven approach to experimental optimization, it learns everything from scratch and could greatly benefit from the expertise of its human (domain) experts who often reason abo

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Enhancing LLM’s Reliability by Iterative Verification Attributions with Keyword Frontinglity of large language models (LLMs). However, existing research often ignores the adverse effect of “Middle Loss” in lengthy input contexts on answer correctness, and the potential negative impact of unverified citations on the quality of attribution. To address these challenges, we propose a frame

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Reconstructing the Unseen: GRIOT for Attributed Graph Imputation with Optimal Transport attributed graphs. Nevertheless, to work, these methods assume that the attributes values are fully known, which is not realistic in numerous real-world applications. This paper explores the potential of Optimal Transport (OT) to impute missing attributes on graphs. To proceed, we design a novel mu

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Sebastian Buschjägertiveness.Breaks down the various types of aid and provides eA response to the pressing need to address and clarify the substantial ambiguity within current literature, this edited volume aims to deepen readers’ understanding of the impact of foreign aid on development outcomes based on the latest fi

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Eduardo Fernandes Montesuma,Fred Ngolè Mboula,Antoine Souloumiac understanding of the impact of foreign aid on development outcomes based on the latest findings in research over the past decade. Foreign aid has long been seen as one of two extremes: either beneficial or damaging, a blessing or a curse. Consequently, many readers perceive aid’s effectiveness base