Sentence examples for whose probabilities from inspiring English sources

Random variable, In statistics, a function that can take on either a finite number of values, each with an associated probability, or an infinite number of values, whose probabilities are summarized by a density function.

are the ones whose probabilities are increasing (decreasing, resp).

"This is originally defined over a given signal/message, and is computed as a function of the probabilities of all symbols across the entire signal, i.e. across a set of symbols whose probabilities sum to 1," he explains.

In other words, we assume that signals whose probabilities are below 0.001% do not affect system performance because they rarely occur.

This model presents a probability associated with high variance periods of barely 5.7%%, much lower than that of previous models, whose probabilities were around 25%%.

For a specific category C, the ROI region of its instances is supposed to include (1) superpixels whose probabilities of C are higher than other categories, (2) superpixels whose probabilities of C are higher than a threshold T p, and (3) superpixels whose saliency values are higher than a threshold T s.

In "Teen Patti Mr. Bachchann has a grand time playing Venkat, an underappreciated math professor in Mumbai whose probability studies lead him to a gambler's dream: winning at will in a game of chance, here the Indian card game teen patti.

But surely a key lesson of the recent crisis is that private insurance is not a sensible mechanism for dealing with tail risk whose probability is unknown (eg, AIG and monolines); disaster myopia will rule.

41 Neediest Cases 44 OBITUARIES 46 Dr. René Thom A French mathematician whose probability theory once offered hope of predicting unruly phenomena like earthquakes, he was, he was 79. 46 SCIENCE/HEALTH New View on Menopause The view of treating menopause symptoms with hormones has undergone a momentous shift.

In the evolutionary PD, cooperators whose probability of meeting other cooperators is high do better than defectors whose probability of meeting other defectors is high.

In this algorithm, the chromosomes are composed of qubits whose probability amplitudes comprise gene chains.