Results 81 to 90 of about 9,309 (288)
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 +7 more
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Advanced Functional Materials, EarlyView.The TOC showcases the chemical structure of the emitter tCzBT2B as an “MVP athlete” in a stadium surrounded by. spotlights and cheering fans celebrating its impressive performance in organic light‐emitting diodes (OLEDs). The stats for this emitter and its device are detailed below.
Dongyang Chen +7 more
wiley +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 +3 more
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Advanced Functional Materials, EarlyView.This study introduces a highly soluble, reduction‐active lithium salt into conventional zinc battery electrolytes, enhancing the solvation structure and electric double layer. These modifications significantly improve the reversibility of the zinc anode and mitigate cathode material dissolution, presenting a novel approach to enhancing the performance ...
Ziwei Zhao +5 more
wiley +1 more source
Inductive Completeness of Logics of Programs
Electronic Notes in Theoretical Computer Science, 2009 AbstractWe propose a new approach to delineating logics of programs, based directly on inductive definition of program semantics. The ingredients are elementary and well-known, but their fusion yields a simple yet powerful approach, surprisingly overlooked for decades.The denotational semantics of a regular program can be construed as a relation ...
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Inductive Logic Programming for Symbol Recognition
2009 10th International Conference on Document Analysis and Recognition, 2009 In this paper, we make an attempt to use Inductive Logic Programming (ILP) to automatically learn non trivial de- scriptions of symbols, based on a formal description. This work is a first step in this direction and is rather a proof of concept, rather than a fully operational and robust frame- work.
K.C., Santosh +2 more
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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 +2 more
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Advanced Functional Materials, EarlyView.Sulfur‐capped mesoporous PtPbBi nanosheets (S‐PtPbBi MNSs) with an alloy/intermetallic compound heterophase and inhomogeneous tensile strain (≈3%) were synthesized by a thiol modification strategy, which exhibited excellent electrocatalytic performance for ethylene glycol oxidation reaction (EGOR).
Fukai Feng +14 more
wiley +1 more source
Advanced Functional Materials, EarlyView.A scalable nano‐/micro‐confinement strategy is developed, where polyacrylamide (PAM)‐LiCl hybrid desiccants are confined within hollow nanoparticles (HNPs) and assembled into raspberry‐like microbeads. The beads have a hydrogel‐rich core and an NP‐rich shell for fast absorption and desorption, releasing water 13.6 L kg⁻¹ day⁻¹.
Yunchan Lee +6 more
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IDEA---a conversational, heuristic program for Inductive Data Exploration and Analysis [PDF]
, 1967 Laurence I. Press, Miles S. Rogers
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