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. Most Web applications require some modification to run on the app engine. The domestic Sina Network also reference Gae launched the Sina app Engine Open cloud computing platform, Sina App engine support PHP and MySQL, but database access, file operations, Web crawl, etc. need to use the API provided by Sina, can not use the original PHP function, Therefore, the existing PHP application also requires a certain modification to run on the SAE platform. 　　Company Business Management System: 　　I.

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context-sensitive characteristics of the establishment of mathematical models, also known as statistical language model. For the statistical language model, Jarinik is described as follows: If a sentence is reasonable, see how likely the sentence will appear in the corpus, which is measured by probability. The Mathematical description of the statistical language model is as follows:Suppose S denotes a meaningful sentence, consisting of a sequence of words w1,

With the neural network of small partners know that the data needs to be normalized, but why to do normalization, the problem has always been ambiguous, and there is no more than the answer on the net, the small series spent a period of time, made some research, give us a careful analysis, why do normalization: 1. Numerical problems. There is no doubt that normalization can indeed avoid some unnecessary numerical problems. The magnitude of the input variable does not cause a numerical problem,

In linux, the dc calculator dc adopts the inverse polish expression, and the calculation process is manual maintenance of the stack. The reverse Polish style looks awkward, but it runs very efficiently. If you don't talk about things in a mess, you can directly enter the script positive question and negative sign in dc and use _ to represent rather than-, because-is a binary operator "minus sign" printing class command: p: print the top element of the stack and wrap the line n: print the top ele

counting is logically completely OK, but because of the flexible nature of language, and the size of the corpus is always limited, for a slightly longer sentence, it is probably not in the corpus. For example, the following sentence: "I am looking for a restaurant to eat breakfast", intuitively, this sentence in corpus should appear a lot of times it? But if you enter this sentence into Google's search box and click Search, you will find that there is no exact match on the returned results. The

of counting is logically completely OK, but because of the flexible nature of language, and the size of the corpus is always limited, for a slightly longer sentence, it is probably not in the corpus. For example, the following sentence: "I am looking for a restaurant to eat breakfast", intuitively, this sentence in corpus should appear a lot of times it? But if you enter this sentence into Google's search box and click Search, you will find that there is no exact match on the returned results.

insurance companies and. (Basically the reader is unintelligible). before the 1970s, the scientists tried to determine whether the word sequence was grammatically correct or not, but the road was not moving. Jarinik looked at the problem from another angle, and it was pretty done with a simple statistical language model. Jarinik's starting point is simple: If a sentence is reasonable, see how likely it is. As for probability, it is measured by probabilities. The first sentence appears the mos

the RDD is aggregated into a single collection, and an iterator that returns the collection of elements of the key in the two Rdd (K, (Iterable[V], Iterable[w])) . Where key and Value,value are tuples of two data sets of the same key under two Rdd.The generous box represents the Rdd, and the small box inside the generous frame represents the partition in the RDD. Merge the data in RDD1 (u1,1), (u1,2), and RDD2 (u1,2) into (U1, ((), (2))).Source: /** * For each key k in ' the ' or ' other1 ' or

ConceptStatistical language model: It is a mathematical model to describe the inherent law of natural language. Widely used in various natural language processing problems, such as speech recognition, machine translation, Word segmentation, part-of-speech tagging, and so on. Simply put, a language model is a model used to calculate the probability of a sentence.That is P (w1,w2,w3 .... WK). Using a language model, you can determine which word sequence

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