Results 71 to 80 of about 395,648 (314)
Evolving Long Short-Term Memory Networks [PDF]
Machine learning techniques have been massively employed in the last years over a wide variety of applications, especially those based on deep learning, which obtained state-of-the-art results in several research fields. Despite the success, such techniques still suffer from some shortcomings, such as the sensitivity to their hyperparameters, whose ...
Vicente Coelho Lobo Neto +2 more
openaire +1 more source
Parallelizable Stack Long Short-Term Memory [PDF]
Stack Long Short-Term Memory (StackLSTM) is useful for various applications such as parsing and string-to-tree neural machine translation, but it is also known to be notoriously difficult to parallelize for GPU training due to the fact that the computations are dependent on discrete operations.
Shuoyang Ding, Philipp Koehn
openaire +2 more sources
Single‐cell multi‐omics reveals epigenetic heterogeneity across therapy‐adaptive tumor states, including quiescent/dormant, drug‐tolerant persister, and EMT‐like phenotypes. By linking regulatory features with state‐associated biomarkers, these approaches inform biomarker‐guided therapeutic strategies for evolving tumors.
Hee Jung Kim +3 more
wiley +1 more source
Detecting fake speech in voice-based authentication systems is crucial for reliability. Traditional methods often struggle because they can't handle the complex patterns over time.
Arsalan R. Mirza +1 more
doaj +1 more source
Software Effort Estimation Using Multilayer Perceptron and Long Short Term Memory [PDF]
Software effort estimation is a hot topic for study in the last decades. The biggest challenge for project managers is to meet their goals within the given time limit.
Eduard-Florin PREDESCU +2 more
doaj +1 more source
Improved LSTM Method of Predicting Cryptocurrency Price Using Short-Term Data
As cryptocurrencies develop, it cannot be denied that crypto prices are volatile. One of the influencing factors is the increasing volume of transactions which attracts the interest of researchers to conduct research in developing coin price predictions ...
Risna Sari +3 more
doaj +1 more source
Word length effects in long-term memory [PDF]
The word length effect has been a central feature of theorising about immediate memory. The notion that short-term memory traces rapidly decay unless refreshed by rehearsal is based primarily upon the finding that serial recall for short words is better ...
Gerald Tehan +3 more
core +1 more source
Long‐term hippocampal alterations and cognitive impairment in a murine model of surgical sepsis
Using a mouse model of surgical sepsis, we tested long‐term memory and analyzed the transcriptome of single cells isolated from the hippocampus. Survivor mice showed worse memory, loss of certain brain cell subpopulations, and abnormal immune cell activity—suggesting that post‐sepsis brain alterations may be linked to cognitive deficits.
Dong Seong Cho +4 more
wiley +1 more source
Long Short-Term Memory and Bidirectional Long Short-Term Memory Algorithms for Sentiment Analysis of Skintific Product Reviews [PDF]
In the era of ever-evolving digital technology, conducting customer sentiment analysis through product reviews has become crucial for businesses to improve their offerings and increase customer satisfaction. This research aims to analyze the sentiment of
Simanihuruk Laurensia, Suparwito Hari
doaj +1 more source
Neural correlates of enhanced visual short-term memory for angry faces: An fMRI study [PDF]
Copyright: © 2008 Jackson et al.Background: Fluid and effective social communication requires that both face identity and emotional expression information are encoded and maintained in visual short-term memory (VSTM) to enable a coherent, ongoing picture
Jackson, MC +18 more
core +1 more source

