Results 141 to 150 of about 505,756 (312)

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

open access: yesAnnals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo   +4 more
wiley   +1 more source

Confidence Scoring and Speaker Adaptation in Mobile Automatic Speech Recognition Applications [PDF]

open access: yes, 2017
Generally, the user group of a language is remarkably diverse in terms of speaker-specific characteristics such as dialect and speaking style. Hence, quality of spoken content varies notably from one individual to another.
Abbas, Muhammad
core  

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

open access: yesAdvanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang   +4 more
wiley   +1 more source

An integrated model of acoustics and language using semantic classification trees [PDF]

open access: yes, 1996
We propose Multi-level Semantic Classication Trees to combine different information sources for predicting speech events (e.g. word chains, phrases, etc.) Traditionally in speech recognition systems these information sources (acoustic evidence, language ...
De Mori, Renato   +8 more
core   +2 more sources

Advanced Experiment Design Strategies for Drug Development

open access: yesAdvanced Intelligent Discovery, EarlyView.
Wang et al. analyze 592 drug development studies published between 2020 and 2024 that applied design of experiments methodologies. The review surveys both classical and emerging approaches—including Bayesian optimization and active learning—and identifies a critical gap between advanced experimental strategies and their practical adoption in ...
Fanjin Wang   +3 more
wiley   +1 more source

Adventures in /Ɂ/

open access: yesLaboratory Phonology
The glottal stop is a speech sound with varying functions. It can occur as a phoneme in its own right, as a marker of prosodic boundaries, as a replacement of oral stops, and as the replacement for lexical pitch accents.
Holger Mitterer
doaj   +2 more sources

Exploiting alignment techniques in MATREX: the DCU machine translation system for IWSLT 2008 [PDF]

open access: yes, 2008
In this paper, we give a description of the machine translation (MT) system developed at DCU that was used for our third participation in the evaluation campaign of the International Workshop on Spoken Language Translation (IWSLT 2008).
Du, Jinhua   +4 more
core  

Overview of models on spoken word recognition.

open access: yesThe Japanese journal of psychology, 1999
Models of spoken word recognition, such as logogen model, cohort model, new cohort model, trace model, shortlist model, and neighborhood activation model, were examined from the viewpoints of lexical processing. Although none of these models were good enough to explain all the results of studies on activation, competition, and composition of word ...
openaire   +3 more sources

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