Results 31 to 40 of about 74,003 (318)

Learning Weak Constraints in Answer Set Programming [PDF]

, 2015
This paper contributes to the area of inductive logic programming by presenting a new learning framework that allows the learning of weak constraints in Answer Set Programming (ASP).
Broda, Krysia, Law, Mark, Russo, Alessandra   +2 more
core   +2 more sources

An Inductive Logical Model with Exceptional Information for Error Detection and Correction in Large Knowledge Bases

Mathematics
Some knowledge bases (KBs) extracted from Wikipedia articles can achieve very high average precision values (over 95% in DBpedia). However, subtle mistakes including inconsistencies, outliers, and erroneous relations are usually ignored in the ...
Yan Wu, Xiao Lin, Haojie Lian, Zili Zhang   +3 more
doaj   +1 more source

Synthesizing Recursive Logic Programs by Inverting General Resolution

IEEE Access
A fundamental scalability restriction of most Inductive Logic Programming (ILP) systems is that they search syntactically defined program spaces and cannot utilize relations in data.
Taosheng Qiu, Ryutaro Ichise
doaj   +1 more source

SkILL - a Stochastic Inductive Logic Learner

, 2015
Probabilistic Inductive Logic Programming (PILP) is a rel- atively unexplored area of Statistical Relational Learning which extends classic Inductive Logic Programming (ILP).
Côrte-Real, Joana, Dutra, Inês, Mantadelis, Theofrastos, Rocha, Ricardo   +3 more
core   +1 more source

Synchrotron Radiation for Quantum Technology

Advanced Functional Materials, EarlyView.
Materials and interfaces underpin quantum technologies, with synchrotron and FEL methods key to understanding and optimizing them. Advances span superconducting and semiconducting qubits, 2D materials, and topological systems, where strain, defects, and interfaces govern performance.
Oliver Rader, Sakura Pascarelli, Klaus Attenkofer, Anna A. Makarova, Karsten Holldack, Kai Rossnagel, Kristiaan Temst, George Kourousias, Stefano Carretta, Caterina Biscari, Helmut Dosch   +10 more
wiley   +1 more source

Hierarchically sorted inductive logic programming and its application to information extraction [PDF]

, 2000
This thesis extends a conventional framework of Inductive Logic Prgramming(ILP)[35]to that of hierarchically sorted Inductive Logic Programming and applies the extended ILP ...Thesis (Ph. D. in Engineering)--University of Tsukuba, (B), no.
Sasaki Yutaka, 佐々木 裕
core  

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

Explaining clusters with inductive logic programming and linked data [PDF]

, 2013
Knowledge Discovery consists in discovering hidden regularities in large amounts of data using data mining techniques. The obtained patterns require an interpretation that is usually achieved using some background knowledge given by experts from several ...
d'Aquin, Mathieu, Motta, Enrico, Tiddi, Ilaria   +2 more
core  

High‐Spatiotemporal‐Resolution Transparent Thermoelectric Temperature Sensor Arrays Reveal Temperature‐Dependent Windows for Reversible Photothermal Neuromodulation

Advanced Functional Materials, EarlyView.
Thermoelectric temperature sensors are developed that directly measure heat changes during optical‐based neural stimulation with millisecond precision. The sensors reveal the temperature windows for safe reversible neural modulation: 1.4–4.5 °C enables reversible neural inhibition, while temperatures above 6.1 °C cause permanent thermal damage.
Junhee Lee, Dongjo Yoon, Jungha Lee, Duhee Kim, Eunui Kim, Jong‐Hyeok Yoon, Hyuk‐Jun Kwon, Seungjun Chung, Yoonkey Nam, Hongki Kang   +9 more
wiley   +1 more source

XAI Human-Machine collaboration applied to network security

Frontiers in Computer Science
Cyber attacking is easier than cyber defending—attackers only need to find one breach, while the defenders must successfully repel all attacks. This research demonstrates how cyber defenders can increase their capabilities by joining forces with ...
Steve Moyle, Andrew Martin, Nicholas Allott   +2 more
doaj   +1 more source