Trojan. Kotver! lnk removal . Bill, thanks for the response, but I have all the settings that you mentioned (show hidden files, etc). I know how to do this stuff. I found the directory where the infected files are, but, as I said earlier, the files do not stay on the display - they flicker on and off - sometimes there are 2, sometimes 3, sometimes only one. I am not making this up. A Generic Detection of a file or program that appears to have trojan-like features or behavior. Named after the Trojan Horse of Greek legend, a trojan is a program that performs, or appears to perform, one function, but in. Trojan.Kotver Removal Tool - Symantec Security Response provides comprehensive internet protection expertise to guard against complex threats, information about latest new computer viruses and spyware. It ONLY happens in this directory with the infected file. I think the virus is doing this to prevent someone from trying to do anything with these files. It probably depends on which display driver you have whether it works or not on a particular system. Yes, I did exactly as you said, used the browse button on the Norton submit screen, navigated as required to that folder again, and once again am unable to select the files because they come and go as you are looking at the screen, Again, I don't mean every time there is a screen refresh - like if you went to another screen and came back - I mean as you looks at the screen, the files appear for a second, then disappear, over and over again. I am unable to select 2 of the 3 files that appear briefly in that folder. On another subject, what is it with this Forum's reply facility, where even if you click a Reply button below a particular posting, and you see that posting on the screen, when you finally submit your entry, the item you are replying to is no longer shown?!? In other words, this thread now contains a bunch of replies to SPECIFIC postings and you cannot tell which are being replied to because it doesn't show it. For example, I am replying to a posting from Mr. Bill, but after I post it, it will just be tacked onto the very bottom with no way to tell who I was replying to. Unless I am doing something wrong.. This page contains free removal instructions for the Kovter Trojan computer infection. Please use this guide to remove Kovter Trojan and any associated malware.
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Probability - Wikipedia. Probability is the measure of the likelihood that an event will occur. A simple example is the tossing of a fair (unbiased) coin. Since the coin is unbiased, the two outcomes (. In other words, the probability of . Probability theory is also used to describe the underlying mechanics and regularities of complex systems. For example, tossing a fair coin twice will yield . The probability of getting an outcome of . When it comes to practical application however, there are two major competing categories of probability interpretations, whose adherents possess different views about the fundamental nature of probability: Objectivists assign numbers to describe some objective or physical state of affairs. The most popular version of objective probability is frequentist probability, which claims that the probability of a random event denotes the relative frequency of occurrence of an experiment's outcome, when repeating the experiment. This interpretation considers probability to be the relative frequency . The expert knowledge is represented by some (subjective) prior probability distribution. These data are incorporated in a likelihood function. The product of the prior and the likelihood, normalized, results in a posterior probability distribution that incorporates all the information known to date. In a sense, this differs much from the modern meaning of probability, which, in contrast, is a measure of the weight of empirical evidence, and is arrived at from inductive reasoning and statistical inference. Gambling shows that there has been an interest in quantifying the ideas of probability for millennia, but exact mathematical descriptions arose much later. There are reasons of course, for the slow development of the mathematics of probability. Whereas games of chance provided the impetus for the mathematical study of probability, fundamental issues. A probable action or opinion was one such as sensible people would undertake or hold, in the circumstances. Aside from the elementary work by Cardano, the doctrine of probabilities dates to the correspondence of Pierre de Fermat and Blaise Pascal (1. Christiaan Huygens (1. Simpson also discusses continuous errors and describes a probability curve. The first two laws of error that were proposed both originated with Pierre- Simon Laplace. The first law was published in 1. The contents of this web page, except the parts contributed by members of The Assayer, are copyright (c) 2000 by Benjamin Crowell, and are copyleft licensed under the Open Publication License 1.0, without options A or B. Probability for Statistics and Machine Learning Fundamentals and Advanced Topics. Authors: DasGupta, Anirban. The second law of error was proposed in 1. Laplace and stated that the frequency of the error is an exponential function of the square of the error. He gave two proofs, the second being essentially the same as John Herschel's (1. Further proofs were given by Laplace (1. Gauss (1. 82. 3), James Ivory (1. Hagen (1. 83. 7), Friedrich Bessel (1. W. Donkin (1. 84. Morgan Crofton (1. Other contributors were Ellis (1. De Morgan (1. 86. Glaisher (1. 87. 2), and Giovanni Schiaparelli (1. Peters's (1. 85. 6) formula. Augustus De Morgan and George Boole improved the exposition of the theory. Andrey Markov introduced. The modern theory of probability based on the measure theory was developed by Andrey Kolmogorov (1. These formal terms are manipulated by the rules of mathematics and logic, and any results are interpreted or translated back into the problem domain. There have been at least two successful attempts to formalize probability, namely the Kolmogorov formulation and the Cox formulation. In Kolmogorov's formulation (see probability space), sets are interpreted as events and probability itself as a measure on a class of sets. In Cox's theorem, probability is taken as a primitive (that is, not further analyzed) and the emphasis is on constructing a consistent assignment of probability values to propositions. In both cases, the laws of probability are the same, except for technical details. There are other methods for quantifying uncertainty, such as the Dempster. The insurance industry and markets use actuarial science to determine pricing and make trading decisions. Governments apply probabilistic methods in environmental regulation, entitlement analysis (Reliability theory of aging and longevity), and financial regulation. A good example of the use of probibility theory in equity trading is the effect of the perceived probability of any widespread Middle East conflict on oil prices, which have ripple effects in the economy as a whole. An assessment by a commodity trader that a war is more likely can send that commodity's prices up or down, and signals other traders of that opinion. Accordingly, the probabilities are neither assessed independently nor necessarily very rationally. The theory of behavioral finance emerged to describe the effect of such groupthink on pricing, on policy, and on peace and conflict. As with finance, risk assessment can be used as a statistical tool to calculate the likelihood of undesirable events occurring and can assist with implementing protocols to avoid encountering such circumstances. Probability is used to design games of chance so that casinos can make a guaranteed profit, yet provide payouts to players that are frequent enough to encourage continued play. Many consumer products, such as automobiles and consumer electronics, use reliability theory in product design to reduce the probability of failure. Failure probability may influence a manufacturer's decisions on a product's warranty. The collection of all possible results is called the sample space of the experiment. The power set of the sample space is formed by considering all different collections of possible results. For example, rolling a dice can produce six possible results. One collection of possible results gives an odd number on the dice. These collections are called . If the results that actually occur fall in a given event, the event is said to have occurred. A probability is a way of assigning every event a value between zero and one, with the requirement that the event made up of all possible results (in our example, the event . To qualify as a probability, the assignment of values must satisfy the requirement that if you look at a collection of mutually exclusive events (events with no common results, e. See Complementary event for a more complete treatment. If two events A and B occur on a single performance of an experiment, this is called the intersection or joint probability of A and B, denoted as P(A. If two events are mutually exclusive then the probability of either occurring is. P(A or B)=P(A. Conditional probability is written P(A. However, it is possible to define a conditional probability for some zero- probability events using a . When arbitrarily many events A. In this form it goes back to Laplace (1. Cournot (1. 84. 3); see Fienberg (2. See Inverse probability and Bayes' rule. Summary of probabilities. In the case of a roulette wheel, if the force of the hand and the period of that force are known, the number on which the ball will stop would be a certainty (though as a practical matter, this would likely be true only of a roulette wheel that had not been exactly levelled . Bass' Newtonian Casino revealed). Of course, this also assumes knowledge of inertia and friction of the wheel, weight, smoothness and roundness of the ball, variations in hand speed during the turning and so forth. A probabilistic description can thus be more useful than Newtonian mechanics for analyzing the pattern of outcomes of repeated rolls of a roulette wheel. Physicists face the same situation in kinetic theory of gases, where the system, while deterministic in principle, is so complex (with the number of molecules typically the order of magnitude of Avogadro constant 6. The objective wave function evolves deterministically but, according to the Copenhagen interpretation, it deals with probabilities of observing, the outcome being explained by a wave function collapse when an observation is made. However, the loss of determinism for the sake of instrumentalism did not meet with universal approval. Albert Einstein famously remarked in a letter to Max Born: . Webster's Revised Unabridged Dictionary. G & C Merriam, 1. Strictly speaking, a value of 0 indicates impossibility only when a sample space is finite. In an infinite sample space, a probability of 0 may indicate infinitesimal likelihood, but not impossibility. For example, the probability of any specific integer, say 5, being chosen completely at random from the entire set of integers is 0. However, it is not impossible for 5 to be chosen, just extremely unlikely.^ ab. The Logic of Statistical Inference. Cambridge University Press. The Stanford Encyclopedia of Philosophy (Winter 2. Edition), Edward N. Retrieved 2. 2 April 2. Introduction to Mathematical Statistics (6th ed.). Upper Saddle River: Pearson. Dickenson ISBN 9. Jeffrey, R. C., Probability and the Art of Judgment, Cambridge University Press. ISBN 0- 5. 21- 3. Franklin, J. 2. 2, 1. Some laws and problems in classical probability and how Cardano anticipated them Gorrochum, P. Chance magazine 2. Abrams, William, A Brief History of Probability, Second Moment, retrieved 2. Ivancevic, Vladimir G.; Ivancevic, Tijana T. Quantum leap : from Dirac and Feynman, across the universe, to human body and mind. Singapore ; Hackensack, NJ: World Scientific. ISBN 9. 78- 9. 81- 2. The Science of Conjecture: Evidence and Probability Before Pascal. Johns Hopkins University Press. Journal of the American Statistical Association, 1. Seneta, Eugene William. Stat. Prob: The Encyclopedia Sponsored by Statistics and Probability Societies. Retrieved 2. 7 January 2. Retrieved 2. 7 January 2. Efficient Market Theory and Behavioral Finance. The Finance Professionals' Post, 2. Gao, J. Z.; Fong, D.; Liu, X. International Gambling Studies. A First course in Probability, 8th Edition. Page 2. 6- 2. 7.^Olofsson (2. Page 8.^Olofsson (2. Olofsson (2. 00. 5) page 3. Olofsson (2. 00. 5) page 2. Burgi, Mark (2. 01. Letter to Max Born, 4 December 1. Einstein/Born Briefwechsel 1. Moore, W. J. Cambridge University Press. Springer - Verlag, New York. ISBN 0- 3. 87- 2. Kallenberg, O. Springer Series in Statistics. ISBN 0- 3. 87- 9. 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I also highly recommend not visiting these sites as they contain some images that are spoilerific)Relatively little- known- -it seems- -game from meromero cute that came out earlier this year. Today I finally finished the entire game after around 4. It is made of WIN and AWESOME SAUCE. That's the short version. The long version has been spoiler- boxed for space, images, and convenience: Welcome to the world of Draculius. Vampires live secretly in the modern world, and the game takes place in Japan, of course, in a small city somewhere within. The story centers around our male protagonist, Ogishima Jun, who lives an ordinary life of a high school student, when suddenly his world is turned upside down by the appearance of Elshlant D. Annoyance, a vampire housemaid sent by the Brandle royal family to inform him of his secret heritage. And this is only the very beginning. Interesting thing about vampires in this game are that their physiology and capabilities are far from traditional vampire lore, but their style, atmosphere, and feel adhere to classical vampire portrayals, which is a pretty interesting result the creators of the game have accomplished. Cast of Charactershttp: //xs. Armed with clever wits, long hair, and the face of a girl's, he has lived alone in a house his long- deceased mother has left him and has been living the life of an ordinary high school student. That is until one day the vampire housemaid, Elshlant D. Annoyance, shows up at his doorstep with a letter from his paternal grandfather, Brian Brandle. Jun learns that his father, Id Demon Brandle, is the missing successor to the Brandle clan, the royal family of vampires. His father got tired of the vampire aristocrat's life and ran away to live a human life, falling in love with Ogishima Yukari, Jun's mother. Some time after Yukari's pregnancy, Id Brandle went missing, and Ogishima Yukari, a miko, placed a magical seal upon Jun before his birth in order to prevent his vampiric half from manifesting. Ever since Yukari's death, this seal has been gradually weaknening and it is at this point when the seal is on the brink of collapse that the Brandle family decides to offer Jun the chance to join the world of vampires as the official heir to the Brandle family, now that his father, Id Brandle, is missing, presumed dead. The Brandle family makes this offer to Jun under three conditions: 1) That Jun become a vampire suitable to being called the heir to the Brandle family. Annoyance be sent to live in Jun's house as a maid and to serve as an evaluator to determine when Jun has fulfilled condition 1. And lastly 3) that Jun choose a bride from among a selection of possible suitors hailing from various aristocratic vampire families. Personality- wise, Jun is somewhat reserved, and well- known for his gentleness among his schoolmates. He has a very quick mind and can swiftly come up with plans and deductions from various situation. He also enjoys teasing people from time to time, and is popular with the girls of the school although he doesn't really care. He dislikes the idea of hurting or killing someone, but treasures people he considers close to him and will act as necessary to protect them. Quite different from most male protagonists. His quick mind and wittiness, plus the fact that he isn't initially that interested in women but aren't phobic of them either like many other leads are gives him further pluses. It's nice to watch him come up with all sorts of creative ways to get out of sticky situations. Annoyance)Whatever you're thinking about her name, I'm sure I was thinking the exact same thing too when I first saw/heard it : D. A second blood vampire, basically a vampire that used to be human and was turned into one by a first blood or shinso, vampires that were born vampires. Is a familiar/child vampire (how do you translate . She now serves Jun as his familiar and housemaid. Has a pretty hefty reputation and history amongst many humans as the . She is also an expert at healing and magical surgery. Her body is currently loli- sized due to some magical complications and to conserve energy. Jun calls her Belche, because she feels a little uncomfortable with people calling her by her first name like her original master, Id Brandle, did. As one who has lived for longer than 1. Becomes a rock- solid pillar of knowldge and support for Jun during this time of great change in his life. There's no real character stereotype to describe Belche. She's like a mother or grandmother, but with none of the negatives. A superb personality portrayal of someone who has lived for longer than human lifespans, in my view. Her interactions with the other characters are great to watch as she teaches them some life lessons one moment and then starts scolding them the next. Secretly she is an agent from Dailas Lean, a secret global organization dedicated to the extermination of vampires, whose members are derived from orphans all around the world. Think nuns with guns, without the religious bit. Her orders are to observe and if necessary, terminate Jun. An expert with a wide variety of firearms and explosives. She's be the tsundere of the game, if you had to pick one, although she's in many ways different from the usual tsundere. Loud, hotblooded, quick to act without thinking, not very feminine, and not very sociable. Believes strongly in the concept of justice and serving Dailas Lean is her justice and reason to live. Impulsive, a little immature, and sometimes a little slow on the uptake, but possesses nearly unstoppable determination when she's committed to something. What can one say? Hot, fiery, cute, hilarious, and badass to boot. Plus her voice acting is totally win- -- though pretty much everyone's voice acting in this game is great. Out of sheer curiosity and for fun she travels to Japan and transfers into Jun's class one month ahead of schedule, and also moves into Jun's house as his fiance, a role which she takes to with much gusto, much to Jun's bewilderment. A first blood vampire like Jun. Every vampire develops a special ability at some point during their lives, and Rian's is the . She is playful and mischievous, and a little childish in mentality. She often has trouble associating with ordinary humans and seeing things from their point of view. Typically has a good amount of self- confidence and pride. Quick to emotional extremes and quick to argue with other cast members. Has a very playful kind of mood about herself as mentioned, and shifts frequently back and forth from childish to elegant. Possesses none of the usual unbearable arrogance that one might see in common ojou- sama characters, and quickly and genuinely apologizes when at fault. You can't even say she's tolerable because there's nothing at all to find intolerable about her to begin with. She starts out seeming like an ordinary and somewhat shallow ojou- sama type and grows over time into a truly likeable character with depth and personality. I loooooove that expression of hers and you will laugh too when you watch the scene where that expression comes from. Expert in melee combat, stealth, and detecting/hunting down enemies, on top of her various housemaid- related skills. Has been Rian's companion since childhood. Very reserved, quiet, speaks in a subdued voice that feels monotone. Extremely loyal to Rian and to those who gain her trust, and will lay down her life for her mistress if ordered to. Gentle to those she considers friends and family, and merciless to all she considers her enemy. Is considered a dog, which she pretty much is in a sense. Total. Seriously gives Chuck Norris a run for his money. Well, a lot of ero- game characters can give Chuck Norris a run for his money. But are they also a super- sexy werewolf meido with a fascination for tsundere jokes and scenarios and bi- lingual wordgags? A mysterious woman with mysterious motives and an equally mysterious personality. A little slow (quite a few people in this game are kinda slow at times : p ) and very energetic. Comes over to Jun's house every morning and walks to and from school together. Very competitive and hates to lose, and easily gets into arguements with other people. Has a big crush on Jun. Draws manga (often involving Jun). Also shares an important characteristic with a certain Watarase Jun from Happiness. Captain of the kendo club. Lives with four sisters (all of whom hold big crushes on Jun : heh: ), and therefore gives Jun advice on women from time to time. A cool, reliable type of person eager to help Jun out whenever help is needed. Mizuno Kanako. The former class president of Jun's class, but everyone still calls her 'iincho,' much to her protest. The smart, reliable, and orderly type of person. Would like Jun to pay more attention to his grades and take life more seriously. End Cast of Characters. There's several other minor characters as well, but I decided not to go over them for now. In any case, all the characters are made of many levels of awesome sauce, and become even more win as the story goes on and grow in depth and maturity as the game plays on. There's a palpable sense of growth and development from beginning to the end within our heroes and heroines. It's also worth noting that this is one of a very small number of games that feature a main cast made up almost entirely of foreign characters. The spoken Engrish is pretty bad here like in most other games : heh: but the creators apparently knew enough English to make a lot of great language barrier jokes. Some of them are really creative. Rika is American, Rian and Zeno are British, and Belche is apparently from Dublin, Ireland. A lot of jokes and insults are hurled from one end of the Western World to the other in this game, and it gets extremely funny when they start commenting on each other's command (or the lack of) of the Japanese language. Yep, this game plays around with and makes frequent fun of the tsundere concept.
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