Discover how probability distribution methods can help predict stock market returns and improve investment decisions. Learn to assess risk and potential gains.
This is an important work implementing data mining methods on IMC data to discover spatial protein patterns related to the triple-negative breast cancer patients' chemotherapy response. The evidence ...
Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...
Right now, molecules in the air are moving around you in chaotic and unpredictable ways. To make sense of such systems, ...
There is no measurement that can directly observe the wave function of a quantum mechanical system, but the wave function is still enormously useful as its (complex) square represents the probability ...
Jason Fernando is a professional investor and writer who enjoys tackling and communicating complex business and financial problems. Natalya Yashina is a CPA, DASM with over 12 years of experience in ...
Abstract: The growing penetration of distributed photovoltaic (PV) poses new challenges, such as voltage security and output uncertainty, in distribution networks. The efficient and secure integration ...
Abstract: Quantum Key Distribution (QKD) offers a novel approach to address the challenges posed by quantum computations in classical ciphers. Due to hardware limitations and the stochastic nature of ...
We introduce a novel generative model: Discrete Distribution Networks (DDN). DDN employs a simple yet unique approach to model the target distribution, distinctly different from mainstream generative ...
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