Journal ArticleDOI
Pattern Recognition and Machine Learning
TLDR
This book covers a broad range of topics for regular factorial designs and presents all of the material in very mathematical fashion and will surely become an invaluable resource for researchers and graduate students doing research in the design of factorial experiments.Abstract:
(2007). Pattern Recognition and Machine Learning. Technometrics: Vol. 49, No. 3, pp. 366-366.read more
Citations
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Journal ArticleDOI
Psychological entropy: a framework for understanding uncertainty-related anxiety.
TL;DR: The entropy model of uncertainty (EMU), an integrative theoretical framework that applies the idea of entropy to the human information system to understand uncertainty-related anxiety, is proposed and is experienced subjectively as anxiety.
Proceedings Article
Diversity is All You Need: Learning Skills without a Reward Function
TL;DR: In this paper, the authors propose a method for learning useful skills without a reward function, which is based on maximizing an information theoretic objective using a maximum entropy policy, which results in the unsupervised emergence of diverse skills such as walking and jumping.
Journal ArticleDOI
An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification.
TL;DR: A new method for classifying medical images that uses an ensemble of different convolutional neural network (CNN) architectures that achieves a higher accuracy than established CNNs and is only overtaken by those methods that source additional training data.
Journal ArticleDOI
Systematic literature review of machine learning based software development effort estimation models
TL;DR: A systematic literature review of empirical studies on ML model published in the last two decades finds that eight types of ML techniques have been employed in SDEE models, and overall speaking, the estimation accuracy of these ML models is close to the acceptable level and is better than that of non-ML models.
Journal ArticleDOI
Colorectal cancer cell-derived microvesicles are enriched in cell cycle-related mRNAs that promote proliferation of endothelial cells
Bok Sil Hong,Ji-Hoon Cho,Hyun-Jung Kim,Eun-Jeong Choi,Sangchul Rho,Jongmin Kim,Ji-Hyun Kim,Dong-Sic Choi,Yoon-Keun Kim,Daehee Hwang,Yong Song Gho +10 more
TL;DR: This study demonstrates that CRC cell-derived microvesicles are enriched in cell cycle-related mRNAs that promote proliferation of endothelial cells, suggesting that microvesicle of cancer cells can be involved in tumor growth and metastasis by facilitating angiogenesis-related processes.