Sentence examples for soft logic from inspiring English sources

In other works, Ramesh et al. (2014) use probabilistic soft logic (PSL) to predict whether a learner will complete assignments and quizzes, scoring more than zero, and whether the learner will finish the course.

Repetitive construction projects are very common in real life, and they are characterized by the "repetitive" nature of activities, resource continuity, distance constraints, and hard and soft logic relations.

The hard logic implements exactly the specification of a feature, while the soft logic deals with the adaptation aspects of a feature, i.e. resolving interaction problems and making features work together.

In line with this, in this paper we propose a complexity controlling method that is suitable for distributed systems in which each feature has two concerns, namely a hard logic and a soft logic.

This paper introduces the theory of soft PLC, discusses the PLC software models and implementations based on the EIC61131-3 standetailedtailedescribeses the principle and implementation of soft PLC operating system programs, designs soft PLC running system software based on industrial PC, constructs soft logic control system based on industrial PC.

We describe some results inspired to Lafont's Soft Linear Logic (SLL) which is a subsystem of second-order linear logic with restricted rules for exponentials, correct and complete for polynomial time computations.

It's a hard word for the mob to handle; demagogic is pronounced with the final g soft, rhyming with logic, but demagoguery has the final g hard, rhyming with toggery.

Rational is very unemotional and uses logic; soft focuses on trying to make a connection with the other person; and hard is "what you see in the movies – the aggressive, assertive, pounding on the table".

At the end of the review, the paper suggests fuzzy logic, soft computing and other AI techniques, to be exploited to reduce the rate of false alarms while keeping the detection rate high.

In recent years, the main components of soft computing (fuzzy logic (FL), and Artificial Neural Networks, (ANNs)) have come to prevail in the modeling of complex non-linear systems in different scientific and technologic disciplines.

People are soft, warm, fuzzy, logic-averse creatures who like to cuddle and are mostly rounder than they want to be.