Results 101 to 110 of about 201,128 (321)
Regularization in Probabilistic Inductive Logic Programming
AbstractProbabilistic Logic Programming combines uncertainty and logic-based languages. Liftable Probabilistic Logic Programs have been recently proposed to perform inference in a lifted way. LIFTCOVER is an algorithm used to perform parameter and structure learning of liftable probabilistic logic programs. In particular, it performs parameter learning
Elisabetta Gentili+4 more
openaire +1 more source
kLog: A Language for Logical and Relational Learning with Kernels
We introduce kLog, a novel approach to statistical relational learning. Unlike standard approaches, kLog does not represent a probability distribution directly. It is rather a language to perform kernel-based learning on expressive logical and relational
Altun+92 more
core +1 more source
“Lives and times”: The case for qualitative longitudinal research in anatomical sciences education
Abstract Qualitative longitudinal research (QLR) focuses on changes in perceptions, interpretations, or practices through time. Despite longstanding traditions in social science, QLR has only recently appeared in anatomical sciences education (ASE).
Charlotte E. Rees, Ella Ottrey
wiley +1 more source
Homology Induction: the use of machine learning to improve sequence similarity searches
Background The inference of homology between proteins is a key problem in molecular biology The current best approaches only identify ~50% of homologies (with a false positive rate set at 1/1000).
King Ross D, Karwath Andreas
doaj +1 more source
Induction of constraint logic programs [PDF]
Inductive Logic Programming (ILP) is concerned with learning hypotheses from examples, where both examples and hypotheses are represented in the Logic Programming (LP) language. The application of ILP to problems involving numerical information has shown the need for basic numerical background knowledge (e.g. relation “less than”).
Michèle Sebag+2 more
openaire +2 more sources
Abstract The term semantic primitives refers to a set of basic, atomic concepts from which all other (compound) concepts are constructed. It presupposes the principle of compositionality—the idea that complex items or expressions can be formed by combining simpler constituents.
Birger Hjørland
wiley +1 more source
In this work we investigate the security of security-critical applications, i.e. applications in which a failure may produce consequences that are unacceptable.
Gustavo Betarte, Carlos Luna
doaj +1 more source
NiFe‐NO3 Layered Double Hydroxide as a Novel Anode for Sodium Ion Batteries
This study demonstrates, for the first time, the effectiveness of using LDH as an anodic material in SIB. The material is stable and show high specific capacity, the reaction mechanism has been thoroughly investigated and comprehensively described and involves a phase change reaction followed by sodium intercalation.
Marco Fortunato+4 more
wiley +1 more source
Predicting functional upstream open reading frames in
Background Some upstream open reading frames (uORFs) regulate gene expression (i.e., they are functional) and can play key roles in keeping organisms healthy. However, how uORFs are involved in gene regulation is not yet fully understood. In order to get
Kristiansson Erik+5 more
doaj +1 more source
Quantitative Models and Implicit Complexity
We give new proofs of soundness (all representable functions on base types lies in certain complexity classes) for Elementary Affine Logic, LFPL (a language for polytime computation close to realistic functional programming introduced by one of us ...
A. Asperti+9 more
core +4 more sources