Informing equitable prevention practices: a statewide disaggregated analysis of suicide for ethnoracially minoritized adolescents
The increase in adolescent suicide rates in the United States is a pervasive public health
issue, and ethnoracial youth with diverse identities are disproportionately impacted, yet less …
issue, and ethnoracial youth with diverse identities are disproportionately impacted, yet less …
Vibration based condition monitoring of a brake system using statistical features with logit boost and simple logistic algorithm
Brakes are responsible for the stability of the vehicle. Brake failure is one of the key
elements where more attention is required. Normally, a brake system failure is not an …
elements where more attention is required. Normally, a brake system failure is not an …
Deep CNN with graph laplacian regularization for multi-label image annotation
J Mojoo, K Kurosawa, T Kurita - … , ICIAR 2017, Montreal, QC, Canada, July …, 2017 - Springer
To compensate for incomplete or imprecise tags in training samples, this paper proposes a
learning algorithm for the convolutional neural network (CNN) for multi-label image …
learning algorithm for the convolutional neural network (CNN) for multi-label image …
Logistic discriminant analysis
Linear discriminant analysis (LDA) is one of the well known methods to extract the best
features for the multi-class discrimination. Otsu derived the optimal nonlinear discriminant …
features for the multi-class discrimination. Otsu derived the optimal nonlinear discriminant …
BİRİKİM DEĞERLENDİRME TERCİHİ İLE BANKA SEÇİMİ ARASINDAKİ İLİŞKİNİN MULTİNOMİNAL LOJİSTİK REGRESYON İLE ANALİZ EDİLMESİ: ESKİŞEHİR …
Bu çalışmada birikim değerlendirme tercihi ile banka tercihi arasındaki ilişki multinominal
lojistik regresyon analizi ile elde edilmeye çalışılmıştır. Bu amaçla birikim değerlendirme …
lojistik regresyon analizi ile elde edilmeye çalışılmıştır. Bu amaçla birikim değerlendirme …
Efficient optimization of logistic regression by direct use of conjugate gradient
In classification problems, logistic regression (LR) is used to estimate posterior probabilities.
The objective function of LR is usually minimized by Newton-Raphson method such as …
The objective function of LR is usually minimized by Newton-Raphson method such as …
Importance of phenotypic information in ADHD diagnosis
B Rangarajan, K Subramaian… - … Conference on Cognitive …, 2015 - ieeexplore.ieee.org
Attention Deficit Hyperactivity Disorder (ADHD) is one of the widely researched neuro-
developmental disorder. This paper highlights the importance of phenotypic information in …
developmental disorder. This paper highlights the importance of phenotypic information in …
Automatic seizure detection in multichannel EEG using McCIT2FIS approach
In this paper, an automatic seizure detection technique using multichannel EEG is proposed
based on Metacognitive Complex-valued Interval Type-2 Fuzzy Inference System …
based on Metacognitive Complex-valued Interval Type-2 Fuzzy Inference System …
A rapidly deployable virtual presence extended defense system
MW Koch, C Giron, HD Nguyen - 2009 IEEE Computer Society …, 2009 - ieeexplore.ieee.org
We have developed algorithms for a virtual presence and extended defense (VPED) system
that automatically learns the detection map of a deployed sensor field without a-priori …
that automatically learns the detection map of a deployed sensor field without a-priori …
[PDF][PDF] Advanced Fusion Diagnosis with Evolving Data Streams for Health Management of Complex Engineered Systems
A Abdolsamadi - 2017 - academia.edu
Effective health diagnostics for engineered systems provide tremendous benefits such as
improved safety, reliability, and reduced costs of operation and maintenance. Extensive …
improved safety, reliability, and reduced costs of operation and maintenance. Extensive …