Results 41 to 50 of about 72,713 (317)

SkILL - a Stochastic Inductive Logic Learner

open access: yes, 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   +3 more
core   +1 more source

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

open access: yesMathematics
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   +3 more
doaj   +1 more source

Synthesizing Recursive Logic Programs by Inverting General Resolution

open access: yesIEEE 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

Stable Model Counting and Its Application in Probabilistic Logic Programming [PDF]

open access: yes, 2014
Model counting is the problem of computing the number of models that satisfy a given propositional theory. It has recently been applied to solving inference tasks in probabilistic logic programming, where the goal is to compute the probability of given ...
Aziz, Rehan Abdul   +3 more
core   +1 more source

Electrically Binary and Ternary Convertible CMOS Inverter and Logic Gate Using Complementary Field‐Effect Transistors Based on Vertically Stacked MoS2/WSe2 n‐/p‐ Field‐Effect Transistors

open access: yesAdvanced Functional Materials, EarlyView.
In this work, a reconfigurable T‐CMOS inverter based on vertically stacked MoS2 and WSe2 MOSFETs with a gate‐tunable MoS2 resistor, enabling stable ternary logic, is demonstrated. The T‐CMOS inverter supports electrical switching between ternary and binary modes and is further extended to implement ternary NAND (NMIN) and NOR (NMAX) logic gates ...
Changwook Lee   +5 more
wiley   +1 more source

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

open access: yes, 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

open access: yesAdvanced 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   +9 more
wiley   +1 more source

A taxonomy for community-based care programs focused on HIV/AIDS prevention, treatment, and care in resource-poor settings [PDF]

open access: yesGlobal Health Action, 2013
Community-based care (CBC) can increase access to key services for people affected by HIV/AIDS through the mobilization of community interests and resources and their integration with formal health structures.
Beth Rachlis   +5 more
doaj   +1 more source

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

open access: yes, 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   +2 more
core  

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

open access: yesAdvanced 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   +9 more
wiley   +1 more source

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