Results 151 to 160 of about 3,487,202 (255)

A note on the choice of the number of slices in sliced inverse regression [PDF]

Sliced inverse regression (SIR) is a clever technique for reducing the dimension of the predictor in regression problems, thus avoiding the curse of dimensionality. There exist many contributions on various aspects of the performance of SIR.
Gather, Ursula, Becker, Claudia
core  

Understanding and Mitigating the Risk of Accelerated Biological Aging in Survivors of Cancer: A Scoping Review

Aging and Cancer, EarlyView.
Cancer treatment is associated with measurable acceleration of biological aging across epigenetic, telomere, senescence, and immune biomarkers. However, biomarker validation and interventional strategies remain limited, especially in hematologic malignancies, underscoring the need for standardized multi‐omic aging assessments and adequately powered ...
Moataz Ellithi, Emily Herdman, Danielle Westmark, Vijaya R. Bhatt   +3 more
wiley   +1 more source

Dimensionality Reduction for Offline Alphabet Arabic Sign Language Recognition using Deep Learning. [PDF]

J Biomed Phys Eng
Awwad S, El-Salhi SM, Igried B.
europepmc   +1 more source

Self‐Regulated Learning Meets AI: Reinterpreting Self‐Regulation, Co‐Regulation, and Socially Shared Regulation in Human–AI Interaction

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Advancing artificial intelligence (AI) has transformed learning and work, yet higher education and professional development programs have not systematically equipped learners for AI‐prevalent environments. This lack of preparation creates uncertainty regarding control, responsibility, trust, and accountability.
Moon‐Heum Cho, Jerusalem Merkebu
wiley   +1 more source

Optimizing football analytics: Dimensionality reduction meets machine learning for offensive and defensive player profiling. [PDF]

PLoS One
Yáñez-Sepúlveda R, Vásquez-Bonilla A, Olivares R, Olivares P, Cortés-Roco G, Guzmán-Muñoz E, Tuesta M, Olivares-Arancibia J, Becerra-Patiño BA, Paucar-Uribe JD, Rada-Perdigón DA, Garcia-Carrillo E, Rivera-Kofler T, Clemente-Suárez VJ, López-Gil JF.   +14 more
europepmc   +1 more source

Comparing the Effect of Semi‐Immersive Virtual Reality, Computerized Cognitive Training, and Traditional Rehabilitation on Cognitive Function in Multiple Sclerosis: A Randomized Clinical Trial

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Cognitive impairment is a common non‐motor symptom in Multiple Sclerosis (MS), negatively affecting autonomy and Quality of Life (QoL). Innovative rehabilitation strategies, such as semi‐immersive virtual reality (VR) and computerized cognitive training (CCT), may offer advantages over traditional cognitive rehabilitation (TCR ...
Maria Grazia Maggio, Desiree Latella, Lilla Bonanno, Paulo Cezar Rocha dos Santos, Marcos Maldonado‐Díaz, Meir Plotnik, Rosaria De Luca, Angelo Quartarone, Rocco Salvatore Calabrò   +8 more
wiley   +1 more source

From microbial diversity to functional potential using dimensionality reduction. [PDF]

Front Microbiol
Chamberlain EJ, Boulton W, Connors E, Calianos T, Bowman JS, Creamean JM, Mock T, Kim HH.   +7 more
europepmc   +1 more source

Some contributions to dimensionality reduction

, 2010
Dimensionality reduction is a long standing challenging problem in the fields of statistical learning, pattern recognition and computer vision. Numerous algorithms have been proposed and studied in the past decades.
Tong, Wei
core  

Evaluation of Digital Technologies for Home‐Based Assessment in People With Amyotrophic Lateral Sclerosis

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective Digital technologies hold promise for transforming healthcare by enhancing personalized treatments and offer valuable opportunities to improve patient care. Here, we evaluated several novel, self‐administered, home‐based, digital endpoints for their association with corresponding conventional standard clinical measures (primary) in ...
Arne Mueller, Vanessa Vallejo, Mónica Povedano Panadés, Orla Hardiman, Véronique Danel‐Brunaud, Senda Ajroud‐Driss, Philippe Couratier, Jeremy Shefner, Anna Gokey, Mike DiCesare, Erin Lennox, Jens Praestgaard, Lucie Brujin, Peggy Allred, Ram Miller   +14 more
wiley   +1 more source

A general framework for adaptive nonparametric dimensionality reduction. [PDF]

Sci Rep
Di Noia A, Ravenda F, Mira A.
europepmc   +1 more source