作者: Simulate 時(shí)間: 2025-3-21 22:12
https://doi.org/10.1007/978-3-319-63342-8Inductive logic programming; Machine learning; Relational learning; Statistical relational learning; Gra作者: Intractable 時(shí)間: 2025-3-22 01:59
James Cussens,Alessandra RussoIncludes supplementary material: 作者: 表臉 時(shí)間: 2025-3-22 07:08
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/i/image/463886.jpg作者: 入會(huì) 時(shí)間: 2025-3-22 08:50 作者: relieve 時(shí)間: 2025-3-22 15:28 作者: Bucket 時(shí)間: 2025-3-22 19:39
Learning Predictive Categories Using Lifted Relational Neural Networks,Lifted relational neural networks (LRNNs) are a flexible neural-symbolic framework based on the idea of lifted modelling. In this paper we show how LRNNs can be easily used to specify declaratively and solve learning problems in which latent categories of entities, properties and relations need to be jointly induced.作者: Intervention 時(shí)間: 2025-3-22 23:19 作者: 無(wú)表情 時(shí)間: 2025-3-23 05:13 作者: cancellous-bone 時(shí)間: 2025-3-23 05:33 作者: Inkling 時(shí)間: 2025-3-23 13:30
Evangelos Michelioudakis,Alexander Artikis,Georgios Paliouras replication that involves mutations, they will eventually adapt and evolve new behavior over time. In this paper we propose the use of an assurance case for synthetically engineered organisms, and present an orthogonal dimension, an assurance timeline, that can be used to reason about the dynamic, 作者: hematuria 時(shí)間: 2025-3-23 15:13
Phillip Odom,Raksha Kumaraswamy,Kristian Kersting,Sriraam Natarajan replication that involves mutations, they will eventually adapt and evolve new behavior over time. In this paper we propose the use of an assurance case for synthetically engineered organisms, and present an orthogonal dimension, an assurance timeline, that can be used to reason about the dynamic, 作者: BRUNT 時(shí)間: 2025-3-23 22:01 作者: alcohol-abuse 時(shí)間: 2025-3-24 01:12
Takayoshi Shoudai,Satoshi Matsumoto,Yusuke Suzukiuardol to VHDL, then synthesized and tested the guard on a low-SWAP (Size, Weight, And Power) embedded FPGA-based hardware guard platform; performance of the FPGA guard core exceeded the data payload rate for UDP/IP packets on Gigabit Ethernet, while consuming less than 1?% of FPGA resources.作者: 緊張過(guò)度 時(shí)間: 2025-3-24 06:20 作者: 微不足道 時(shí)間: 2025-3-24 10:21
Hai Dang Tran,Daria Stepanova,Mohamed H. Gad-Elrab,Francesca A. Lisi,Gerhard Weikumuardol to VHDL, then synthesized and tested the guard on a low-SWAP (Size, Weight, And Power) embedded FPGA-based hardware guard platform; performance of the FPGA guard core exceeded the data payload rate for UDP/IP packets on Gigabit Ethernet, while consuming less than 1?% of FPGA resources.作者: 構(gòu)成 時(shí)間: 2025-3-24 14:26 作者: 聯(lián)邦 時(shí)間: 2025-3-24 16:32
Ashwin Srinivasan,Gautam Shroff,Lovekesh Vig,Sarmimala Saikiauardol to VHDL, then synthesized and tested the guard on a low-SWAP (Size, Weight, And Power) embedded FPGA-based hardware guard platform; performance of the FPGA guard core exceeded the data payload rate for UDP/IP packets on Gigabit Ethernet, while consuming less than 1?% of FPGA resources.作者: Glossy 時(shí)間: 2025-3-24 21:25 作者: Fortuitous 時(shí)間: 2025-3-25 02:34 作者: electrolyte 時(shí)間: 2025-3-25 03:54 作者: SKIFF 時(shí)間: 2025-3-25 09:12 作者: Thyroxine 時(shí)間: 2025-3-25 12:34
Learning Through Advice-Seeking via Transfer,ernative domains, to guide the expert to give useful advice. This knowledge is captured in the form of first-order logic horn clauses. We demonstrate empirically the value of the transferred knowledge, as well as the contribution of the expert in providing initial knowledge, plus revising and directing the use of the transferred knowledge.作者: NAVEN 時(shí)間: 2025-3-25 17:02 作者: 內(nèi)行 時(shí)間: 2025-3-25 22:21
Towards Nonmonotonic Relational Learning from Knowledge Graphs,osed which, however, applies to a flattened representation of a KG with only unary facts. In this work we make the first steps towards extending this approach to KGs in their original relational form, and provide preliminary evaluation results on real-world KGs, which demonstrate the effectiveness of our method.作者: inhibit 時(shí)間: 2025-3-26 02:23 作者: FRONT 時(shí)間: 2025-3-26 04:56 作者: 呼吸 時(shí)間: 2025-3-26 10:00
Online Structure Learning for Traffic Management, data, as well as synthetic data generated by a professional traffic micro-simulator. The experimental results demonstrate that . can effectively learn traffic congestion definitions and, in some cases, outperform rules constructed by human experts.作者: Alpha-Cells 時(shí)間: 2025-3-26 14:48
Learning Relational Dependency Networks for Relation Extraction,evaluate the different components in the benchmark KBP 2015 task and show that RDNs effectively model a diverse set of features and perform competitively with current state-of-the-art relation extraction methods.作者: CLAY 時(shí)間: 2025-3-26 20:14
0302-9743 learning; logical foundations; statistical relational learning; probabilistic ILP; implementation and scalability; applications in robotics, cyber security and games..978-3-319-63341-1978-3-319-63342-8Series ISSN 0302-9743 Series E-ISSN 1611-3349 作者: forestry 時(shí)間: 2025-3-27 00:25 作者: 流浪者 時(shí)間: 2025-3-27 04:14 作者: 同步左右 時(shí)間: 2025-3-27 08:56 作者: 松軟 時(shí)間: 2025-3-27 12:35 作者: 形狀 時(shí)間: 2025-3-27 15:37
Learning Through Advice-Seeking via Transfer,n more robust models especially in the presence of noisy and incomplete training data. Such experts are often domain but not machine learning experts. Thus, deciding what knowledge to provide is a difficult problem. Our goal is to improve the human-machine interaction by providing the expert with a 作者: 宴會(huì) 時(shí)間: 2025-3-27 18:46 作者: 擔(dān)心 時(shí)間: 2025-3-27 22:00
Distributional Learning of Regular Formal Graph System of Bounded Degree,t deals with term graphs instead of the terms of first-order predicate logic. We show that the regular FGS languages of bounded degree with the 1-finite context property (1-FCP) and bounded treewidth property can be learned from positive data and membership queries.作者: 美色花錢 時(shí)間: 2025-3-28 02:36
Learning Relational Dependency Networks for Relation Extraction,eline, which employs Relational Dependency Networks (RDNs) to learn linguistic patterns for relation extraction. Additionally, we demonstrate how several components such as weak supervision, . features, joint learning and the use of human advice, can be incorporated in this relational framework. We 作者: 創(chuàng)作 時(shí)間: 2025-3-28 09:56 作者: Abutment 時(shí)間: 2025-3-28 13:26 作者: Aerate 時(shí)間: 2025-3-28 16:41 作者: jabber 時(shí)間: 2025-3-28 21:36
Joana C?rte-Real,Inês Dutra,Ricardo Rocha very difficult and hitherto not satisfactorily solved problem. The essential issues and fundamental principles of safety related programs and computer applications are elaborated, and the importance of the human element in their development process is pointed out. At any time, utmost simplicity sho作者: 詞匯記憶方法 時(shí)間: 2025-3-29 02:09
Marcin Malec,Tushar Khot,James Nagy,Erik Blask,Sriraam Natarajanes of events focuses on critical computer applications. It is intended to be a platform for knowledge transfer between academia, industry, and research institutions. Papers are solicited on all aspects of computer systems in which safety, reliability, and security (applied to safety in terms of inte作者: 壓碎 時(shí)間: 2025-3-29 05:42
Evangelos Michelioudakis,Alexander Artikis,Georgios Paliourasc biology engineers manipulate and modify living organisms to change (and produce entirely novel) functionality, which has led to new fuel sources or the ability to mitigate pollution. Synthetic biology research is also expected to lead to methods of intelligent drug delivery. In synthetic biology,
