Results 151 to 160 of about 9,057 (292)

Complexity and reduction issues in grammatical inference

, 2005
Grammatical inference deals with learning grammars or automata from different textual informations. A general paradigm allowing us to describe the convergence of the process is that of identification in the limit.
Colin De La Higuera
core  

The Role of Admission Probabilities in the Deferred Acceptance Mechanism: An Experimental Study

International Studies of Economics, EarlyView.
ABSTRACT Although students theoretically need not consider admission probabilities under strategy‐proof mechanisms in school choice problems, our study reveals a significant correlation between students' applications and their beliefs about admission probabilities in the deferred acceptance mechanism.
Shuxian Hong, Yi Yang
wiley   +1 more source

Grammar error diagnosis using graph convolutional networks with knowledge graph integration. [PDF]

Sci Rep
Zhang J, Ma Y.
europepmc   +1 more source

Academic Resilience in Contexts of Inequality: Motivational and Self‐Efficacy Profiles of Disadvantaged High Achievers

Journal of Adolescence, EarlyView.
ABSTRACT Introduction Socioeconomic disparities in academic achievement are well‐documented in France and emerge early in schooling. Yet, a subset of students from socioeconomically disadvantaged backgrounds attains high academic performance, challenging deterministic accounts of educational inequality.
Margot Rémeau, Gaël Raffy, Grégoire Borst   +2 more
wiley   +1 more source

A non-verbal process dissociation procedure to disentangle explicit from implicit sequence learning. [PDF]

Neurosci Conscious
Malassis R, Moscado L, Sackur J, Németh D.   +3 more
europepmc   +1 more source

Dynamic Protocol Reverse Engineering a Grammatical Inference Approach

, 2008
Round trip engineering of software from source code and reverse engineering of software from binary files have both been extensively studied and the state-of-practice have documented tools and techniques.
DeYoung, Mark E.
core  

Improving the Finite Sample Estimation of Average Treatment Effects Using Double/Debiased Machine Learning With Propensity Score Calibration

Journal of Applied Econometrics, EarlyView.
ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley   +1 more source

STGAD: Self-temporal generative adversarial framework with transformer attention for unsupervised multivariate time-series anomaly detection and localization. [PDF]

PLoS One
Liao X, Deng W, Ma H, Mu Y.
europepmc   +1 more source

The how and why of syntactic relations

, 2010
Human communication takes place when one person does something that when seen or heard by another person is taken to be done with the intention to communicate, and the other person, having seen the communicator show his or her intention to communicate ...
LaPolla, Randy J.
core  

Glycemic Regulation and Renal Function by Heavy Metal Exposure: A Cross‐Sectional Analysis on Cement Plant Workers

Journal of Applied Toxicology, EarlyView.
ABSTRACT Heavy metal exposure is known to have various effects on renal function and blood glucose regulation. The main objective of this study was to evaluate the effects of cement dust and some metal (cadmium, manganese, nickel, and zinc) exposure on blood glucose and renal function parameters in male cement plant workers.
Duygu Seyhan Erdoğan, Fatma Bozdag, Fatıma Betül Topcu, Osman Burak Demirbas, Sultan Pinar Cetintepe, Mustafa Necmi Ilhan   +5 more
wiley   +1 more source