Titlebook: Machine Learning and Knowledge Discovery in Databases: Research Track; European Conference, Danai Koutra,Claudia Plant,Francesco Bonchi Con

Arthropathy

Enhancing Table Retrieval with Dual Graph Representationse fusion strategy is eventually tailor-made for sophisticated table representations. In this way, the table structure and semantic information are well considered with dual-graph modeling. Consequently, the input query can match the target tables based on their full-fledged table representations and

deceive

A Few Good Sentences: Content Selection for Abstractive Text Summarizationt summarization. We observe that self-training and cross-training a pre-trained model with . selected data shows competitive performance to the pre-trained model. Furthermore, a small amount of . selected data is sufficient for domain adaptation against fine-tuning on the entire training dataset wit

外貌

狂怒

鄙视

Neural Class Expression Synthesis in , they are not applicable to ontologies in more expressive description logics. In this paper, we propose a novel NCES approach which extends the state of the art to the description logic .. Our extension, dubbed NCES2, comes with an improved training data generator and does not require pretrained em

万灵丹

Deep Explainable Relational Reinforcement Learning: A Neuro-Symbolic Approachn (or action) is arrived at. Through several experiments, in setups like the Countdown Game, Blocks World, Gridworld, Traffic, and Mingrid, we show that the policies learned by DERRL are adaptable to varying configurations and environmental changes.

孤独无助

不如屎壳郎

NKFAC: A Fast and Stable KFAC Optimizer for Deep Neural Networksbtained from the previous step, producing accurate results within a few iterations thanks to its fast local convergence. This approach reduces computation time and inherits the property of second-order optimizers, enabling practical applications. The proposed algorithm is further enhanced with sever

压迫

elastic