Results 61 to 70 of about 72,713 (317)

MP-HTHEDL: A Massively Parallel Hypothesis Evaluation Engine in Description Logic

IEEE Access
We present MP-HTHEDL, a massively parallel hypothesis evaluation engine for inductive learning in description logic (DL). MP-HTHEDL is an extension on our previous work HT-HEDL, which also targets improving hypothesis evaluation performance for inductive
Eyad Algahtani
doaj   +1 more source

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

High Risk Artificial Intelligence Systems and Legal Doctrine of Essential Facilities: in Search for a Dynamic Model [PDF]

Interdisciplinary Description of Complex Systems
The Regulation of the European Parliament and of the Council on laying down harmonised rules on Artificial Intelligence and amending certain Union Legislative Acts (Artificial Intelligence Act) targets high risk artificial intelligence systems as one of ...
Dominik Vuletić
doaj   +1 more source

Programmable Hydrogels: Frontiers in Dynamic Closed‐Loop Systems, Biomimetic Synergy, and Clinical Translation

Advanced Science, EarlyView.
This review summarizes the design principles and key features of programmable hydrogels that respond to multiple stimuli. It then delves into the cutting‐edge mechanisms of self‐executing systems, highlighting their role as the cornerstone of next‐generation programmable hydrogels (NGPHs).
Guangli Xiang, Bohan Yin, Behzad Shiroud Heidari, George Youssef, Monika Gosecka, Mateusz Gosecki, Fernando G. Torres, Siu Hong Dexter Wong, Jagan Mohan Dodda   +8 more
wiley   +1 more source

Integrating AI and Multi-objective Optimization for Enhanced Microgrid Energy Management Using Quadratic Programming [PDF]

E3S Web of Conferences
Using the AI approaches and the quadratic programming driven multiobjective optimisation, this paper proposes a universal framework for smart microgrid energy management.
Agrawal Priyanka, Thethi H. Pal, Mohammad Q., Gupta Navya, Asha V., Reddy K. Jyothsna   +5 more
doaj   +1 more source

Inductive logic programming [PDF]

ACM SIGART Bulletin, 1993
Inductive Logic Programming (ILP) is a research area which investigates the construction of first-order definite clause theories from examples and background knowledge. ILP systems have been applied successfully in a number of real-world domains.
openaire   +1 more source

Atomically Dispersed Zr‐N Moieties Modulate Fe Coordination for Robust Oxygen Reduction Electrocatalysis

Advanced Science, EarlyView.
The introduction of atomically dispersed Zr‐N moieties adjacent to Fe‐N4 centers forms a bimetallic coordination configuration. This structure modifies the local electronic environment of the Fe sites, weakening the adsorption of OH intermediates, suppressing Fe agglomeration and dissolution, and consequently enhancing both the catalytic activity and ...
Siqi Qiu, Hao Wan, Yuechao Yao, Xiao Xu, Zhangjian Li, Yongbiao Mu, Biaolin Peng, Hongliang Wu, Jizhao Zou, Lin Zeng   +9 more
wiley   +1 more source

Inductive Logic Programming: Theory and methods

The Journal of Logic Programming, 1994
The paper is an interesting and clear survey of the theory and the applications of inductive logic programming (ILP). This is a new discipline arising from the integration of inductive machine learning and logic programming. Similarly to the case of inductive learning, the aim of ILP is to develop techniques for constructing inductively hypotheses from
Muggleton, Stephen, De Raedt, Luc
openaire   +1 more source

Aligned Nanostructures Resolve Zn2+ Transport Bottlenecks via Interfacial Kinetics–Diffusion Coupling in Aqueous Zinc‐Ion Batteries

Advanced Science, EarlyView.
It is revealed that limited solid‐state Zn2⁺ diffusion within the cathode leads to interfacial Zn2⁺ accumulation, forming a transport bottleneck that distorts Zn2⁺ flux directionality. Through advanced analytical techniques, including in situ electrochemical impedance spectroscopy (EIS), distribution of relaxation time (DRT) analysis, and COMSOL ...
Juyeon Han, Eunha Seo, Subeen Park, Se Hun Lee, Jeeyoung Yoo   +4 more
wiley   +1 more source

kLog: A Language for Logical and Relational Learning with Kernels

, 2014
We introduce kLog, a novel approach to statistical relational learning. Unlike standard approaches, kLog does not represent a probability distribution directly. It is rather a language to perform kernel-based learning on expressive logical and relational
Altun, Ando, Antanas, Antanas, Antanas, Argyriou, Blockeel, Blockeel, Bottou, Boulicaut, Bröcheler, Ceroni, Chang, Chang, Cook, Costa, Costa, De, De Grave, De Grave, De Raedt, De Raedt, De Raedt, Dietterich, Dietterich, Evgeniou, Fabrizio Costa, Frasconi, Frasconi, Friedman, Gross, Gärtner, Gärtner, Haussler, Heckerman, Helma, Helma, Horváth, Joachims, Kazius, Kersting, Kersting, Kersting, Kimmig, Koller, Kordjamshidi, Kou, Kramer, Kurt De Grave, Lanckriet, Landwehr, Lao, Lari, London, Lowd, Luc De Raedt, Luks, Macskassy, Mahe, McCallum, McKay, Menchetti, Mitchell, Muggleton, Muggleton, Neville, Ng, Paolo Frasconi, Quinlan, Ralaivola, Richardson, Rizzolo, Rossi, Serebrenik, Shervashidze, Shi, Sorlin, Srinivasan, Srinivasan, Sun, Sutton, Taskar, Taskar, Tsochantaridis, van de Waterbeemd, Vazquez, Verbeke, Verbeke, Vishwanathan, Wachman, Wang, Wolpert, Yan   +92 more
core   +1 more source