Maximum likelihood detector

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Maximum likelihood detector

The new maxent classifier Parameters: The following algorithms are currently available. Higher values produce more verbose output. If none is specified, then a BinaryMaxentFeatureEncoding will be built based on the features that are attested in the training corpus.

Maximum likelihood detector

If none is given, then the set of all labels attested in the training data will be used instead. Currently, this is supported by megam. For other algorithms, its value is ignored.

Some of the cutoff conditions are not supported by some algorithms. Terminate after v iterations.

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Terminate after the negative average log-likelihood drops under v. Terminate if a single iteration improves log likelihood by less than v. Binary for string and boolean features: Typically, these features are constructed based on a training corpus, using the train method.

For string and boolean features [type fval not in int, float ] this method will create one feature for each combination of fname, fval, and label that occurs at least once in the training corpus. For integer and float features [type fval in int, float ] this method will create one feature for each combination of fname and label that occurs at least once in the training corpus.

These features have the form: A string describing the value of the joint-feature whose index in the generated feature vectors is fid. This vector is represented as a list of index, value tuples, specifying the value of each non-zero joint-feature.The ADE is a fake bomb detector that was produced by ATSC (UK), which claimed that the device could effectively and accurately, from long range, detect the presence and location of various types of explosives, drugs, ivory, and other monstermanfilm.com device has been sold to 20 countries in the Middle East and Asia, including Iraq and Afghanistan, for as much as US$60, each.

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