Results 121 to 130 of about 311,585 (364)
This study presents BiT‐HyMLPKANClassifier, a novel hybrid deep learning framework for automated human peripheral blood cell classification. Model combines Big Transfer models with multilayer perceptron and efficient Kolmogorov–Arnold Network architectures, achieving over 97% accuracy.
Ömer Miraç KÖKÇAM, Ferhat UÇAR
wiley +1 more source
Identifiability and Unmixing of Latent Parse Trees [PDF]
This paper explores unsupervised learning of parsing models along two directions. First, which models are identifiable from infinite data? We use a general technique for numerically checking identifiability based on the rank of a Jacobian matrix, and ...
Hsu, Daniel +2 more
core +2 more sources
CRF Autoencoder for Unsupervised Dependency Parsing
Unsupervised dependency parsing, which tries to discover linguistic dependency structures from unannotated data, is a very challenging task. Almost all previous work on this task focuses on learning generative models.
Cai, Jiong, Jiang, Yong, Tu, Kewei
core +1 more source
Best‐Practice Reporting for Porous Materials Adsorption Data
Digital reporting of adsorption data critically relies on standardization enabling FAIR data management, AI‐based discovery, and massive data mining for the exploration of advanced porous materials in sustainable processing for future society. Abstract Recent decades have seen an enormous evolution of novel porous materials for catalysis, energy ...
Daniel W. Siderius +6 more
wiley +1 more source
Accuracy and Tuning of Flow Parsing for Visual Perception of Object Motion During Self-Motion
How do we perceive object motion during self-motion using visual information alone? Previous studies have reported that the visual system can use optic flow to identify and globally subtract the retinal motion component resulting from self-motion to ...
Diederick C. Niehorster, Li Li
doaj +1 more source
Theorietage der Gesellschaft für Informatik in Speyer 2015—Special Issue
We briefly report on the national workshops on Formal Languages and Automata Theory as well as on Algorithms and Complexity Theory held in early Autumn, 2015.
Henning Fernau
doaj +1 more source
Lemmatization and lexicalized statistical parsing of morphologically rich languages: the case of French [PDF]
This paper shows that training a lexicalized parser on a lemmatized morphologically-rich treebank such as the French Treebank slightly improves parsing results.
Candito, Marie +4 more
core
Abstract In birds, the neural canal houses a variety of anatomical structures including the spinal cord, meninges, spinal vasculature, and respiratory diverticula. Among these, paramedullary diverticula and the extradural dorsal spinal vein may leave behind osteological correlates in the form of pneumatic foramina and fossae, and a bilobed geometry of ...
Jessie Atterholt +5 more
wiley +1 more source
ULTRA: Universal Grammar as a Universal Parser
A central concern of generative grammar is the relationship between hierarchy and word order, traditionally understood as two dimensions of a single syntactic representation. A related concern is directionality in the grammar.
David P. Medeiros
doaj +1 more source
TRX: A Formally Verified Parser Interpreter
Parsing is an important problem in computer science and yet surprisingly little attention has been devoted to its formal verification. In this paper, we present TRX: a parser interpreter formally developed in the proof assistant Coq, capable of producing
Adam Koprowski +7 more
core +2 more sources

