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133results about How to "Maximize likelihood" patented technology

Topic indexing method

A method for improving the associating articles of information or stories with topics associated with specific subjects (subject topics) and with a general topic of words that are not associated with any subject. The inventive method is trained using Hidden Markov Models (HMM) to represent each story with each state in the HMM representing each topic. A standard Expectation and Maximization algorithm, as are known in this art field can be used to maximize the expected likelihood to the method relating the words associated with each topic to that topic. In the method, the probability that each word in a story is related to a subject topic is determined and evaluated, and the subject topics with the lowest probability are discarded. The remaining subject topics are evaluated and a sub-set of subject topics with the highest probabilities over all the words in a story are considered to be the "correct" subject topic set. The method utilizes only the positive information and words related to other topics are not taken as negative evidence for a topic being evaluated. The technique has particular application to text that is derived from speech via a speech recognizer or any other techniques that results in a text file. The use of a general topic category enhances the results since most words in any story are not keywords that are associated with any given subject topic. The removal of the general words reduces the numbers of words being considered as keywords related to any given subject topic. The reduced number of words being processed allows the method to enhance the discrimination between the fewer words as related to the subject topics. The topics can range from general, for example "the U.S. economy", to very specific, for example, "the relationship of the yen to the dollar in the U.S. economy."
Owner:CXENSE

Method and apparatus for improved customer direct on-line reservation of rental vehicles

Disclosed herein is an improvement to a reservation booking website for rental vehicle reservations wherein the functionality of managing customer profiles/accounts is expanded upon to provide customers with greater control over the profile data stored in their associated personalized accounts/profiles, particularly in connection with the “favorite” or “preferred” branch locations for rental vehicle reservations that are stored in the customer profiles/accounts. Also disclosed herein is an improvement to a reservation booking website wherein customers who plan to travel via general aviation (GA) are provided with a GA reservation creation path that is responsive to their GA travel needs. Also disclosed herein is an improvement to a reservation booking website for rental vehicle reservations wherein customers are provided with a streamlined ability to log into their customer profiles/accounts. Preferably fields for customer entry of a password for a customer profile/account (and optionally a field for customer entry of a user name for a customer profile/account) are provided on several of the displayed web pages (e.g., a choose vehicle page, a renter information page, a choose location page etc.), or more preferably, on all of the web pages that are displayed to the customer when the customer has not yet logged into his/her profile/account.
Owner:THE CRAWFORD GROUP
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