Card Counting in Continuous Time
نویسندگان
چکیده
منابع مشابه
Who's Counting? Real-Time Blackjack Monitoring for Card Counting Detection
This paper describes a computer vision system to detect card counters and dealer errors in a game of Blackjack from an overhead stereo camera. Card counting is becoming increasingly popular among casual Blackjack players, and casinos are eager to find new systems of dealing with the issue. There are several existing systems on the market; however, these solutions tend to be overly expensive, re...
متن کاملContinuous time temporal logic with counting
We add to the standard temporal logic TL(U,S) a sequence of “counting modalities”: For each n the modality Cn(X), which says that X will be true at least at n points in the next unit of time, and its dual ←− C n, which says that X has happened n times in the last unit of time. We show that this temporal logic is expressively complete for the metric predicate logic Q2MLO, which is expressive, de...
متن کاملCounting labeled transitions in continuous-time Markov models of evolution.
Counting processes that keep track of labeled changes to discrete evolutionary traits play critical roles in evolutionary hypothesis testing. If we assume that trait evolution can be described by a continuous-time Markov chain, then it suffices to study the process that counts labeled transitions of the chain. For a binary trait, we demonstrate that it is possible to obtain closed-form analytic...
متن کاملTime-to-Digital Converter card for multichannel time-resolved Single-Photon Counting applications
We present a high performance Time-to-Digital Converter (TDC) card that provides 10 ps timing resolution and 20 ps (rms) timing precision with a programmable full-scale-range from 160 ns to 10 μs. Differential Non-Linearity (DNL) is better than 1.3% LSB (rms) and Integral Non-Linearity (INL) is 5 ps rms. Thanks to the low power consumption (400 mW) and the compact size (78 mm x 28 mm x 10 mm), ...
متن کاملContinuous-Time, Discrete-Event Simulation from Counting Processes
A continuous-time, discrete-event (CTDE) simulation can be based on any one of a number of stochastic processes, including Generalized Semi-Markov Processes (GSMP) [Glynn 1989], Generalized Stochastic Petri Nets (GSPN) [Haas 2002], or chemical stochastic processes [Gillespie 2007] These processes vary in how they define state and how they specify the distribution of times at which each event wi...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Applied Probability
سال: 2012
ISSN: 0021-9002,1475-6072
DOI: 10.1017/s0021900200008937