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Examples of the the word, probabilistic , in a Sentence Context

The word ( probabilistic ), is the 18388 most frequently used in English word vocabulary

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  1. Classes of problems, meaning most problems of interest in BPP have efficient, probabilistic ,algorithms that can be run quickly on real modern machines. For this reason it
  2. Practice of taking advantage of a price difference between two or more at any, probabilistic ,or temporal state and a positive cash flow in at least one state; in simple
  3. Probabilistic modeling. Miles and others argued that the application of, probabilistic ,uncertainty would require the ability to exactly replicate objectively similar
  4. Brownian motion is among the simplest of the continuous-time stochastic (or, probabilistic ,) processes, and it is a limit of both simpler and more complicated stochastic
  5. S axioms, not Einstein's. (Bohr's axioms are simply: The theory should be, probabilistic ,in the sense of the Copenhagen interpretation. ) As a consequence, it is not
  6. For some applications this definition is preferable since it does not mention, probabilistic ,Turing machines. Problems Besides the problems in P, which are obviously in BPP
  7. If the majority of all assignments make the formula true, is complete for PP,a, probabilistic ,class. The problem of how many variable assignments satisfy a formula, not a
  8. 1/3 that it will give the wrong answer. Similarly to other" bounded error ", probabilistic ,classes the choice of 1/3 in the definition is arbitrary. We can run the
  9. Basis can only be established by the process of decoherence, which is itself, probabilistic ,or arbitrary.: :MRI response: Everett analyzed branching using what we now call
  10. General problems of statistical estimation and machine learning, to estimate (, probabilistic ,) quantities of interest via Monte Carlo methods, since most quantities of
  11. Lyric Semiconductor's error correction circuits use analog, probabilistic ,signals. Practical examples These are examples of analog computers that have
  12. Are used to define complexity classes, such as deterministic Turing machines, probabilistic ,Turing machines, non-deterministic Turing machines, quantum Turing machines
  13. This music by hand, the intensity of the calculations needed to transform, probabilistic ,mathematics into musical notation was best left to the number-crunching power
  14. The string y corresponds to the output of the random coin flips that the, probabilistic ,Turing machine would have made. For some applications this definition is
  15. A sense of ‘ responsibility,’ or self agency, in a context of uncertainty (, probabilistic ,outcomes) drives the neural system underlying repetitive motivation (i.e.
  16. Important complexity classes include BPP, ZPP and RP, which are defined using, probabilistic ,Turing machines; AC and NC, which are defined using Boolean circuits and BQP
  17. Mechanics. This was in 1935. According to Bohr, this new theory should be, probabilistic , whereas according to Einstein it should be deterministic. Notably, the
  18. And profess to be about. ” In computational complexity theory, bounded-error, probabilistic , polynomial time (BPP) is the class of decision problems solvable by a
  19. Randomness from weakly random sources. See randomness extractor. Using the, probabilistic ,method it is easy to show that extractor graphs with perfect parameters
  20. That results from the validity of MRI could lead to" a method by which certain, probabilistic ,tasks can be performed faster by a universal quantum computer than by any
  21. Algorithms in computer science, as well as classical probability, additive and, probabilistic ,number theory, the area recently grew to become an independent field of
  22. Of the system. (Heisenberg) # The description of nature is essentially, probabilistic , with the probability of an event related to the square of the amplitude of the
  23. Search, tabu search, or simulated annealing algorithms, a class of heuristic, probabilistic ,algorithms that vary the solution of a problem by a random amount. The name "
  24. Generalization of the pigeonhole principle. Probabilistic combinatorics In, probabilistic ,combinatorics, the questions are of the following type: what is the probability
  25. Values this particular risk at 5 % per annum (we could perform a more precise, probabilistic ,analysis of the risk, but that is beyond the scope of this article). Therefore
  26. Turing machine with an extra supply of random bits. The ability to make, probabilistic ,decisions often helps algorithms solve problems more efficiently. Algorithms
  27. Machine, which uses a fixed set of rules to determine its future actions. A, probabilistic ,Turing machine is a deterministic Turing machine with an extra supply of random
  28. Markov Chain Monte Carlo algorithms for Bayesian analysis of problems based on, probabilistic ,models. Many of these studies are based on the homology detection and protein
  29. Quantum algorithms that perform tasks that are not known to have efficient, probabilistic ,algorithms; for example, factoring integers. They would not however invalidate
  30. A deterministic machine, since a deterministic machine is a special case of a, probabilistic ,machine. In practice, an error probability of 1/3 might not be acceptable
  31. Was realized gradually in the development of complexity theory. It states::" A, probabilistic ,Turing machine can efficiently simulate any realistic model of computation. "
  32. Running times are used to define the class ZPP. Alternatively, ZPP contains, probabilistic ,algorithms that are always correct and have expected polynomial running time.
  33. Those properties are greater than 0. This approach (often referred to as the, probabilistic ,method) proved highly effective in applications to external combinatorics and
  34. Study of finite Markov chains, especially on combinatorial objects. Here again, probabilistic ,tools are used to estimate the mixing time. Often associated with Paul Erdős
  35. Objectively similar events to obtain an accurate understanding of the range of, probabilistic ,outcomes of any event, and this is not possible in real markets, where past
  36. Language, providing a clear quantifiable link between cultural practice and, probabilistic ,cognition. Another notable paper published in 1949 is" Communication Theory of
  37. Problems that can be computed in polynomial time. Assuming the conjecture that, probabilistic ,polynomial time (BPP) equals deterministic polynomial time (P),the word
  38. Approaches (natural language processing, speech recognition, machine vision, probabilistic ,logic, planning,reasoning, numerous forms of machine learning) into an AI
  39. Used in Microsoft's CAB format. The very best modern lossless compressors use, probabilistic ,models, such as prediction by partial matching. The Burrows–Wheeler transform
  40. As these events are intrinsically unique and not capable of numerical, probabilistic ,modeling. Miles and others argued that the application of probabilistic
  41. Understanding has been worked out for hyperbolic systems. Understanding the, probabilistic ,aspects of dynamical systems has helped establish the foundations of
  42. To overcome this issue, modes of operation are used to make encryption, probabilistic , Some modes of operation, despite the fact that their underlying implementation
  43. Notion of expected value was introduced. Pascal later (in the Lenses) used a, probabilistic ,argument,Pascal's Wager, to justify belief in God and a virtuous life. The
  44. Of problems. Definition A language L is in BPP if and only if there exists a, probabilistic ,Turing machine M, such that * For all x in L, M outputs 1 with probability
  45. BPP. Note that ordinary generators are not sufficient to show this result; any, probabilistic ,algorithm implemented using a typical random number generator will always
  46. As Everett and others have shown, leading the emergence of the conventional, probabilistic ,rules. * Violation of the principle of locality, which contradicts special
  47. Often associated with Paul Erdős, who did the pioneer work on the subject, probabilistic ,combinatorics was traditionally viewed as a set of tools to study problems in
  48. Factor complexes with chromatin. The phenomenon, as opposed to simple, probabilistic ,models of transcription, can account for the high variability in gene
  49. Polynomial time (BPP) is the class of decision problems solvable by a, probabilistic ,Turing machine in polynomial time, with an error probability of at most 1/3 for
  50. Dartmouth AI summer conference, Ray Solomon off wrote a report on unsupervised, probabilistic ,machine learning:" An Inductive Inference Machine ". Unsupervised learning is

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