Results 31 to 40 of about 478,249 (265)

Boosting Neural Networks [PDF]

Neural Computation, 2000
Boosting is a general method for improving the performance of learning algorithms. A recently proposed boosting algorithm, Ada Boost, has been applied with great success to several benchmark machine learning problems using mainly decision trees as base classifiers.
Holger Schwenk, Yoshua Bengio
openaire   +2 more sources

Gender differences in guilt aversion in Korea and the United Kingdom

Scientific Reports, 2022
Guilt aversion, which describes the tendency to reduce the discrepancy between a partner’s expectation and his/her actual outcome, is a key driving force for cooperation in both the East and West.
Tsuyoshi Nihonsugi, Toshiko Tanaka, Masahiko Haruno   +2 more
doaj   +1 more source

Neural network applications [PDF]

Proceedings Electronic Technology Directions to the Year 2000, 2002
Artificial neural networks, also called neural networks, have been used successfully in many fields including engineering, science and business. This paper presents the implementation of several neural network simulators and their applications in character recognition and other engineering ...
Vonk, E., Jain, L.C., Veelenturf, L.P.J.
openaire   +2 more sources

Differences in Brain Activity After Learning With the Use of a Digital Pen vs. an Ink Pen—An Electroencephalography Study

Frontiers in Human Neuroscience, 2019
The purpose of this study is to clarify whether there is a learning effect on brain activity after writing with an ink pen vs. a digital pen. Previous studies have reported the superiority of handwriting to typing in terms of learning performance, but ...
Kiyoyuki Osugi, Kiyoyuki Osugi, Aya S. Ihara, Kae Nakajima, Akiyuki Kake, Kizuku Ishimaru, Yusuke Yokota, Yasushi Naruse   +7 more
doaj   +1 more source

Compactness of Neural Networks

Formalized Mathematics, 2022
Summary In this article, Feed-forward Neural Network is formalized in the Mizar system [1], [2]. First, the multilayer perceptron [6], [7], [8] is formalized using functional sequences. Next, we show that a set of functions generated by these neural networks satisfies equicontinuousness and equiboundedness property [10], [5]. At last,
Keiichi Miyajima, Hiroshi Yamazaki
openaire   +1 more source

Feasibility and Safety of Somato‐Cognitive Coordination Therapy for Cerebellar Ataxia Following Pediatric Brain Tumor Treatment

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Cerebellar ataxia after pediatric brain tumor treatment can cause persistent gait, balance, and speech impairment, yet no established rehabilitation strategy exists. Somato‐cognitive coordination therapy (SCCT) is a virtual reality–guided intervention designed to promote sensorimotor integration through visually constrained reaching
Masanobu Takeuchi, Takashi Matsuzawa, Jun Yamanishi, Masahiro Yoshitomi, Junji Ikeda, Shin‐Ichi Tsujimoto, Yasuteru Yamaguchi, Norio Shiba, Dhroov Pathare, Ayumi Kato, Masahiko Hara   +10 more
wiley   +1 more source

Brain imaging and machine learning reveal uncoupled functional network for contextual threat memory in long sepsis

Scientific Reports
Positron emission tomography (PET) utilizes radiotracers like [18F]fluorodeoxyglucose (FDG) to measure brain activity in health and disease. Performing behavioral tasks between the FDG injection and the PET scan allows the FDG signal to reflect task ...
Joshua J. Strohl, Joseph Carrión, Patricio T. Huerta   +2 more
doaj   +1 more source

Olfactory Stimulation Modulates Visual Perception Without Training

Frontiers in Neuroscience, 2021
Considerable research shows that olfactory stimulations affect other modalities in high-level cognitive functions such as emotion. However, little known fact is that olfaction modulates low-level perception of other sensory modalities.
Yoshiaki Tsushima, Yurie Nishino, Hiroshi Ando   +2 more
doaj   +1 more source

The Role of Chemotherapy in Pediatric Myoepithelial Carcinoma: A Systematic Review of the Literature

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Myoepithelial carcinoma (MEC) in pediatric patients is a rare and aggressive malignancy characterized by heterogeneous morphology and variable molecular features. The optimal role of chemotherapy remains unclear. We conducted a systematic review according to PRISMA 2020 guidelines to evaluate chemotherapy in pediatric and young‐adult patients ...
Marco Salvi, Maria Carmen Affinita, Giulia Fichera, Luisa Santoro, Angela Scagnellato, Calogero Virgone, Elena Poli, Gianni Bisogno   +7 more
wiley   +1 more source

Assessment of glutamatergic synaptic transmission and plasticity in brain slices: relevance to bioelectronic approaches

Bioelectronic Medicine, 2019
Background Glutamatergic neurons represent the largest neuronal class in the brain and are responsible for the bulk of excitatory synaptic transmission and plasticity. Abnormalities in glutamatergic neurons are linked to several brain disorders and their
Eric H. Chang, Samantha T. Carreiro, Stephen A. Frattini, Patricio T. Huerta   +3 more
doaj   +1 more source