Results 61 to 70 of about 414,443 (278)

COMET: A Recipe for Learning and Using Large Ensembles on Massive Data [PDF]

, 2011
COMET is a single-pass MapReduce algorithm for learning on large-scale data. It builds multiple random forest ensembles on distributed blocks of data and merges them into a mega-ensemble. This approach is appropriate when learning from massive-scale data
Basilico, Justin D., Dixon, Kevin R., Kegelmeyer, W. Philip, Kolda, Tamara G., Munson, M. Arthur   +4 more
core   +2 more sources

Memory in autism spectrum disorder: a meta-analysis of experimental studies [PDF]

, 2020
To address inconsistencies in the literature on memory in Autism Spectrum Disorder (ASD), we report the first ever meta-analysis of short-term (STM) and episodic long-term (LTM) memory in ASD, evaluating the effects of type of material, type of retrieval
Baylete, J-M., Bowler, D. M., Briant, A. R., Desaunay, P., Eustache, F., Gerardin, P., Guénolé, F., Parienti, J-J., Ring, M.   +8 more
core   +1 more source

Crucial parameters for precise copy number variation detection in formalin‐fixed paraffin‐embedded solid cancer samples

Molecular Oncology, EarlyView.
This study shows that copy number variations (CNVs) can be reliably detected in formalin‐fixed paraffin‐embedded (FFPE) solid cancer samples using ultra‐low‐pass whole‐genome sequencing, provided that key (pre)‐analytical parameters are optimized.
Hanne Goris, Vasiliki Siozopoulou, Léon C van Kempen, Anne Sieben, Ella Roelant, Stig Hellemans, Elyne Backx, Laure Sorber, Koen De Winne, Senada Koljenović, Karen Zwaenepoel   +10 more
wiley   +1 more source

Learning by stochastic serializations

, 2019
Complex structures are typical in machine learning. Tailoring learning algorithms for every structure requires an effort that may be saved by defining a generic learning procedure adaptive to any complex structure. In this paper, we propose to map any complex structure onto a generic form, called serialization, over which we can apply any sequence ...
Strasser, Pablo Ramon, Armand, Stéphane, Marchand-Maillet, Stéphane, Kalousis, Alexandros   +3 more
  +6 more sources

Serial reversal learning in nectar-feeding bats

Animal Cognition
We explored the behavioral flexibility of Commissaris’s long-tongued bats through a spatial serial reversal foraging task. Bats kept in captivity for short periods were trained to obtain nectar rewards from two artificial flowers. At any given time, only
Shambhavi Chidambaram, Sabine Wintergerst, Alex Kacelnik, Vladislav Nachev, York Winter   +4 more
doaj   +1 more source

How are attentional control and serial order STM related to English expert word learning by native Cantonese speakers? [PDF]

, 2014
Recent studies study have reported contradictory results on the role of serial order STM in Cantonese-speaking students learning English vocabulary as a second language in their area of expertise (henceforth, L2 expert word learning).
Lee, Chak-kwan, 李澤昆
core  

Hebbian learning for olfactory sequences. [PDF]

, 2012
The present paper explores the generality of the Hebb repetition effect to the learning of olfactory sequences in order to assess commonality of memory functioning across sensory modalities.
Cauchi, L., Johnson, A.J., Miles, C.
core   +1 more source

Dammarenediol II enhances etoposide‐induced apoptosis by targeting O‐GlcNAc transferase and Akt/GSK3β/mTOR signaling in liver cancer

Molecular Oncology, EarlyView.
Etoposide induces DNA damage, activating p53‐dependent apoptosis via caspase‐3/7, which cleaves PARP1. Dammarenediol II enhances this apoptotic pathway by suppressing O‐GlcNAc transferase activity, further decreasing O‐GlcNAcylation. The reduction in O‐GlcNAc levels boosts p53‐driven apoptosis and influences the Akt/GSK3β/mTOR signaling pathway ...
Jaehoon Lee, Byung‐Cheol Han, Gi‐Bang Koo, Jihye Park, Mijin Kwon, Young Bin Park, Jae‐Mun Choi, Seung‐Ho Lee, Sangho Roh   +8 more
wiley   +1 more source

Exploring the formation of learning burnout among college students in AI context: a serial mediation mechanism of AI dependence and addiction based on I-PACE model

Frontiers in Computer Science
IntroductionThe rapid evolution of artificial intelligence (AI) has transformed higher education by providing unprecedented support for AI-assisted learning.
Yanling Lan, Sihang Liu, Hao Chen
doaj   +1 more source

Joint Banknote Recognition and Counterfeit Detection Using Explainable Artificial Intelligence

Sensors, 2019
We investigated machine learning-based joint banknote recognition and counterfeit detection method. Unlike existing methods, since the proposed method simultaneously recognize banknote type and detect counterfeit detection, it is significantly faster ...
Miseon Han, Jeongtae Kim
doaj   +1 more source