Results 21 to 30 of about 6,301,735 (343)
FastLAS: Scalable Inductive Logic Programming Incorporating Domain-Specific Optimisation Criteria
AAAI Conference on Artificial Intelligence, 2020 Inductive Logic Programming (ILP) systems aim to find a set of logical rules, called a hypothesis, that explain a set of examples. In cases where many such hypotheses exist, ILP systems often bias towards shorter solutions, leading to highly general ...
Mark Law +4 more
semanticscholar +1 more source
Quantum Programming with Inductive Datatypes: Causality and Affine Type Theory [PDF]
Foundations of Software Science and Computation Structure, 2019 Inductive datatypes in programming languages allow users to define useful data structures such as natural numbers, lists, trees, and others. In this paper we show how inductive datatypes may be added to the quantum programming language QPL.
Romain Péchoux +3 more
semanticscholar +1 more source
Induction by Coinduction and Control Operators in Call-by-Name [PDF]
Electronic Proceedings in Theoretical Computer Science, 2013 This paper studies emulation of induction by coinduction in a call-by-name language with control operators. Since it is known that call-by-name programming languages with control operators cannot have general initial algebras, interaction of induction ...
Yoshihiko Kakutani, Daisuke Kimura
doaj +1 more source
Active Inductive Logic Programming for Code Search [PDF]
International Conference on Software Engineering, 2018 Modern search techniques either cannot efficiently incorporate human feedback to refine search results or cannot express structural or semantic properties of desired code.
Aishwarya Sivaraman +3 more
semanticscholar +1 more source
A History of Probabilistic Inductive Logic Programming
Frontiers in Robotics and AI, 2014 The field of Probabilistic Logic Programming (PLP) has seen significant advances in the last 20 years, with many proposals for languages that combine probability with logic programming.
Fabrizio eRiguzzi +2 more
doaj +1 more source
Inductive Data Types Based on Fibrations Theory in Programming
Journal of Computing and Information Technology, 2016 Traditional methods including algebra and category theory have some deficiencies in analyzing semantics properties and describing inductive rules of inductive data types, we present a method based on Fibrations theory aiming at those questions above.
Decheng Miao +3 more
doaj +1 more source
Inductive Logic Programming as Abductive Search [PDF]
, 2010 We present a novel approach to non-monotonic ILP and its implementation called TAL (Top-directed Abductive Learning). TAL overcomes some of the completeness problems of ILP systems based on Inverse Entailment and is the first top-down ILP system that ...
Corapi, Domenico +2 more
core +1 more source
Redesign and validation of a computer programming course using Inductive Teaching Method.
PLoS ONE, 2020 Inductive Teaching Method (ITM) promotes effective learning in technological education (Felder & Silverman, 1988). Students prefer ITM more as it makes the subject easily understandable (Goltermann, 2011).
Iftikhar Ahmed Khan +6 more
doaj +1 more source
A weak HOAS approach to the POPLmark Challenge [PDF]
Electronic Proceedings in Theoretical Computer Science, 2013 Capitalizing on previous encodings and formal developments about nominal calculi and type systems, we propose a weak Higher-Order Abstract Syntax formalization of the type language of pure System ...
Alberto Ciaffaglione, Ivan Scagnetto
doaj +1 more source
Information, 2022 This paper focuses on the study of automated process discovery using the Inductive visual Miner (IvM) and Directly Follows visual Miner (DFvM) algorithms to produce a valid process model for educational process mining in order to understand and predict ...
Hameed AlQaheri, Mrutyunjaya Panda
doaj +1 more source