Results 91 to 100 of about 3,930,802 (359)

A computationally and cognitively plausible model of supervised and unsupervised learning [PDF]

open access: yesInternational Conference on Brain Inspired Cognitive Systems 2013, pp. 145-156, 2020
Both empirical and mathematical demonstrations of the importance of chance-corrected measures are discussed, and a new model of learning is proposed based on empirical psychological results on association learning. Two forms of this model are developed, the Informatron as a chance-corrected Perceptron, and AdaBook as a chance-corrected AdaBoost ...
arxiv  

Time, chance and quantum theory

open access: yes, 2016
I propose an understanding of Everett and Wheeler's relative-state interpretation of quantum mechanics, which restores the feature of indeterminism to the theory. This incorporates a theory of probability as truth values in a many-valued logic for future
Sudbery, Anthony
core   +1 more source

A stepwise emergence of evolution in the RNA world

open access: yesFEBS Letters, EarlyView.
How did biological evolution emerge from chemical reactions? This perspective proposes a gradual scenario of self‐organization among RNA molecules, where catalytic feedback on random mixtures plays the central role. Short oligomers cross‐ligate, and self‐assembly enables heritable variations. An event of template‐externalization marks the transition to
Philippe Nghe
wiley   +1 more source

Data-Driven Chance Constrained Programs over Wasserstein Balls [PDF]

open access: yesarXiv, 2018
We provide an exact deterministic reformulation for data-driven chance constrained programs over Wasserstein balls. For individual chance constraints as well as joint chance constraints with right-hand side uncertainty, our reformulation amounts to a mixed-integer conic program. In the special case of a Wasserstein ball with the $1$-norm or the $\infty$
arxiv  

Chance Constraint Robust Control with Control Barrier Functions [PDF]

open access: yesarXiv, 2020
In this paper, we propose a novel approach to synthesize linear feedback controllers for navigating in polygonal environments using noisy measurements and a convex cell decomposition. Our method is based on formulating chance constraints for the convergence and collision avoidance condition.
arxiv  

Flusser Studies (Chance and Improbability) [PDF]

open access: yes, 2011
This text discusses Flusser’s thinking regarding the ‘technical image’ in relation to a recent artist’s book, Accidental Journey. The book is nominally about the moon and astronomy, and contains images, factual and fictional texts, documents of my own ...
O'Riley, Tim
core  

B cell mechanobiology in health and disease: emerging techniques and insights into therapeutic responses

open access: yesFEBS Letters, EarlyView.
B cells sense external mechanical forces and convert them into biochemical signals through mechanotransduction. Understanding how malignant B cells respond to physical stimuli represents a groundbreaking area of research. This review examines the key mechano‐related molecules and pathways in B lymphocytes, highlights the most relevant techniques to ...
Marta Sampietro   +2 more
wiley   +1 more source

Two-sided linear chance constraints and extensions [PDF]

open access: yesarXiv, 2015
We examine the convexity and tractability of the two-sided linear chance constraint model under Gaussian uncertainty. We show that these constraints can be applied directly to model a larger class of nonlinear chance constraints as well as provide a reasonable approximation for a challenging class of quadratic chance constraints of direct interest for ...
arxiv  

Strategies and Outputs of the "Plan B". Agency in the Italian Contemporary Cinema

open access: yesCinergie, 2018
The article aims to analyse a thematic aspect of contemporary Italian cinema from Smetto quando voglio (2014) to The Place (2017): several films of the last years present characters who decide to restart their own lives, with which they are dissatisfied,
Andrea Rondini
doaj   +1 more source

Unlocking the potential of tumor‐derived DNA in urine for cancer detection: methodological challenges and opportunities

open access: yesMolecular Oncology, EarlyView.
Urine is a rich source of biomarkers for cancer detection. Tumor‐derived material is released into the bloodstream and transported to the urine. Urine can easily be collected from individuals, allowing non‐invasive cancer detection. This review discusses the rationale behind urine‐based cancer detection and its potential for cancer diagnostics ...
Birgit M. M. Wever   +1 more
wiley   +1 more source

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