Results 121 to 130 of about 2,389,129 (358)
Linguistic Features of Limbu Mundhum
This article attempts to look into the kind of language employed in the Mundhum corpus that puts the intricacy to the Limbu natives. To analyze the linguistic aspect of the Mundhum, the study has applied linguistic devices/tools based especially on phonic feature to syntactic structure or pattern.
openaire +2 more sources
To argue the applicability of continuum wall‐climbing robots in the nuclear industry, an electromagnetic adhering and self‐inductive sensing integrated claw is developed. The flexible claw realizes an integrated design of the physical structure and excitation circuit. An automatic contact strategy based on fuzzy controller is established, which enables
Pengpeng Yang+3 more
wiley +1 more source
Dynamic Feature Induction: The Last Gist to the State-of-the-Art
We introduce a novel technique called dynamic feature induction that keeps inducing high dimensional features automatically until the feature space becomes ‘more’ linearly separable.
Jinho D. Choi
semanticscholar +1 more source
Recent advancements in wearable healthcare have brought accessible continuous glucose monitoring systems (CGMs) for diabetes management. To address the limitations of CGMs, closed‐loop systems utilizing monitored glucose levels for insulin dosing are being developed.
Wei Huang+5 more
wiley +1 more source
This paper presents LEXPOR, a prototype of a morphological component of Portuguese capable of segmenting and classifying the constituents of complex words resulting from suffixation of -ismo, -iano, -ês and -mente as well as from prefixing the words so ...
Leonel Figueiredo de Alencar
doaj +1 more source
In this paper, we study, compare and combine two state-of-the-art approaches to automatic feature engineering: Convolution Tree Kernels (CTKs) and Convolutional Neural Networks (CNNs) for learning to rank answer sentences in a Question Answering (QA ...
K. Tymoshenko+2 more
semanticscholar +1 more source
Image classification plays a pivotal role in biomedical image analysis. Herein, it is shown that large multimodal models, such as GPT‐4, achieve superior performance in one‐shot learning, generalization, interpretability, and text‐driven image classification. Applications span tissue, cell type, cellular state, and disease classification, outperforming
Wenpin Hou+4 more
wiley +1 more source
Readability research has a long and rich tradition, but there has been too little focus on general readability prediction without targeting a specific audience or text genre.
Orphée De Clercq, Veronique Hoste
semanticscholar +1 more source
On bootstrapping of linguistic features for bootstrapping grammars [PDF]
We discuss a cue-based grammar induction approach based on a parallel theory of grammar. Our model is based on the hypotheses of interdependency between linguistic levels (of representation) and inductability of specific structural properties at a particular level, with consequences for the induction of structural properties at other linguistic levels.
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