Results 91 to 100 of about 93,680 (316)

Deeply Semantic Inductive Spatio-Temporal Learning [PDF]

arXiv, 2016
We present an inductive spatio-temporal learning framework rooted in inductive logic programming. With an emphasis on visuo-spatial language, logic, and cognition, the framework supports learning with relational spatio-temporal features identifiable in a range of domains involving the processing and interpretation of dynamic visuo-spatial imagery.
arxiv  

April – An Inductive Logic Programming System [PDF]

, 2006
Inductive Logic Programming (ILP) is a Machine Learning research field that has been quite successful in knowledge discovery in relational domains. ILP systems use a set of pre-classified examples (positive and negative) and prior knowledge to learn a theory in which positive examples succeed and the negative examples fail.
Nuno A. Fonseca, Fernando Silva, Rui Camacho   +2 more
openaire   +3 more sources

Shape‐Reconfigurable Crack‐Based Strain Sensor with Ultrahigh and Tunable Sensitivity

Advanced Functional Materials, EarlyView.
A highly sensitive crack‐based sensor with tunable strain detection capabilities is demonstrated through controlled nanocrack formation in a line‐patterned shape memory polymer substrate. The sensor design integrates thermoplastic polyurethane and poly(lactic acid), enabling thermo‐responsive reconfiguration of crack geometry.
Seungjae Lee, Youngoh Lee, Cheolhong Park, Yun Goo Ro, Min Sub Kwak, Geonyoung Jeong, Junseo Park, Hyejin Lee, Pan Kyeom Kim, Sung‐Il Chung, Hyunhyub Ko   +10 more
wiley   +1 more source

Logic Programming, Functional Programming, and Inductive Definitions [PDF]

published in P. Schroeder-Heister (editor), Extensions of Logic Programming (Springer, 1991), 283-310, 2001
An attempt at unifying logic and functional programming is reported. As a starting point, we take the view that "logic programs" are not about logic but constitute inductive definitions of sets and relations. A skeletal language design based on these considerations is sketched and a prototype implementation discussed.
arxiv  

Quantifying the Impact on Software Complexity of Composable Inductive Programming using Zoea [PDF]

arXiv, 2020
Composable inductive programming as implemented in the Zoea programming language is a simple declarative approach to software development. At the language level it is evident that Zoea is significantly simpler than all mainstream languages. However, until now we have only had anecdotal evidence that software produced with Zoea is also simpler than ...
arxiv  

Synergistic Effects of Ruthenium and Zinc Active Sites Fine Tune the Electronic Structures of Augmented Electrocatalysis

Advanced Functional Materials, EarlyView.
This study presents an electronic fine‐tuning (EFT) strategy to optimize the electronic structures of Ru species and single‐atom Zn sites by the virtue of layered nanosheets, significantly enhancing ORR and HER activities. Spectroscopic analysis and theoretical calculations uncover that this EFT effect breaks the ORR scaling limitation and positions ...
Tingyu Lu, Jing Li, Jingwen Ying, Ningkang Peng, Linda Zhang, Yizhou Zhang, Di Zhang, Songbo Ye, Lin Xu, Dongmei Sun, Hao Li, Yanhui Gu, Yawen Tang   +12 more
wiley   +1 more source

The Prioritized Inductive Logic Programs [PDF]

arXiv, 2002
The limit behavior of inductive logic programs has not been explored, but when considering incremental or online inductive learning algorithms which usually run ongoingly, such behavior of the programs should be taken into account. An example is given to show that some inductive learning algorithm may not be correct in the long run if the limit ...
arxiv  

A First Step towards Learning which uORFs Regulate Gene Expression

Journal of Integrative Bioinformatics, 2006
We have taken a first step towards learning which upstream Open Reading Frames (uORFs) regulate gene expression (i.e., which uORFs are functional) in the yeast Saccharomyces cerevisiae.
Selpi, Bryant Christopher H., Kemp Graham J.L., Cvijovic Marija   +3 more
doaj   +1 more source

Bootstrapping Knowledge Graphs From Images and Text

Frontiers in Neurorobotics, 2019
The problem of generating structured Knowledge Graphs (KGs) is difficult and open but relevant to a range of tasks related to decision making and information augmentation.
Jiayuan Mao, Yuan Yao, Stefan Heinrich, Tobias Hinz, Cornelius Weber, Stefan Wermter, Zhiyuan Liu, Maosong Sun   +7 more
doaj   +1 more source

Oxygen Defect Engineering of Hexagonal Perovskite Oxides to Boost Catalytic Performance for Aerobic Oxidation of Sulfides to Sulfones

Advanced Functional Materials, EarlyView.
Ru‐substituted hexagonal perovskite SrMnO3, featuring face‐shared oxygen species, is designed as an effective heterogeneous catalyst for the aerobic oxidation of sulfides. The catalyst demonstrates high selectivity to sulfones (>99%) under mild reaction conditions (≥30 °C). Ru substitution promotes oxygen vacancy formation of face‐shared oxygen species
Keiju Wachi, Masashi Makizawa, Takeshi Aihara, Shin Kiyohara, Yu Kumagai, Keigo Kamata   +5 more
wiley   +1 more source