Measuring systematic and specific risk: Approach mean-entropy

Climatological mean distribution of specific entropy in the oceans

Finite-time entropy: A probabilistic approach for measuring nonlinear stretching

Transport and mixing processes in dynamical systems are often difficult to study analytically and therefore a variety of numerical methods have been developed. Finite-time Lyapunov exponents (FTLEs) or related stretching indicators are frequently used as a means to estimate transport barriers. Alternatively, eigenvectors, singular vectors, or Oseledets vectors of numerical transfer operators fi...

Measuring Entanglement Entropy

A team of quantum physicists from Harvard University measured a property called entanglement entropy, which quantifies the apparent randomness that comes with observing just a portion of an entangled whole. Markus Greiner and colleagues used lasers to create an optical cage with four compartments, each of which held a rubidium atom chilled to nearly absolute zero. The researchers could tweak th...

Measuring Component Performance Using A Systematic Approach and Environment

As more third-party software components are available in the commercial market, more people begin to use the component-based software engineering approach to developing component-based programs. Since most ebusiness and e-commerce application systems are net-centered distributed systems, customers usually have very restricted system performance requirements. Hence, performance testing and evalu...

Measuring Semantic Entropy

Semantic en t ropy is a measu re of semant ic m b i g u i t y and u n i n f o r m a t i v e hess. I t is a g raded lexical f ea tu re which may play a role anywhere lexical semant ics plays a role. This pape r p resen t s a m e t h o d for measu r ing semant ic e n t r o p y using t rans la t iona l distributions of words in paral lel t ex t corpora . The m e a s u r e m e n t m e t h o d is we...