Other

Pinpoint, Incorporated

Massachusetts Institute of Technology

University of Pennsylvania

Fred Herz Patents, LLC

Lyle H Ungar

Frederick S Herz

Jian Zhang

David E Wachob

Marcos Salganicoff

Jason M Eisner

Frederick S M Herz

Jeffrey C Reynar

Walter Paul Labys

Gilmer Valdes

Timothy D Solberg

James A Leonard

Jose Marcio Luna

Mark A Kramer

Eric Eaton

Charles B Simone, Ii

Mitchell P Marcus

Fred Herz

Jason Eisner

A system and method for generating a decision tree having a plurality of nodes, arranged hierarchically as parent nodes and child nodes, comprising: generating a node including: receiving i) training data including data instances, each data instance having a plurality of attributes and a corresponding label, ii) instance weightings, iii) a valid domain for each attribute generated, and iv) an accumulated weighted sum of predictions for a branch of the decision tree; and associating one of a plurality of binary prediction of an attribute with each node including selecting the one of the plurality of binary predictions having a least amount of error; in accordance with a determination that the node includes child nodes, repeat the generating the node step for the child nodes; and in accordance with a determination that the node is a terminal node, associating the terminal node with an outcome classifier; and displaying the decision tree including the plurality of nodes arranged hierarchically.

Systems and methods for generating improved decision trees

A method of using natural language processing (NLP) techniques to extract information from online news feeds and then using the information so extracted to predict changes in stock prices or volatilities. These predictions can be used to make profitable trading strategies. Company names can be recognized and simple templates describing company actions can be automatically filled using parsing or pattern matching on words in or near the sentence containing the company name. These templates can be clustered into groups which are statistically correlated with changes in the stock prices. The system is composed of two parts: message understanding component that automatically fills in simple templates and a statistical correlation component that tests the correlation of these patterns to increases or decreases in the stock price. The methods can be applied to a broad range of text, including articles in online newspapers such as the Wall Street Journal, financial newsletters, radio &TV transcripts and annual reports. In an enhanced embodiment of the system statistical patterns in Internet usage data and Internet data such as newly released textual information on Web pages are further leveraged.

Stock market prediction using natural language processing

A system and method for scheduling the receipt of desired movies and other forms of data from a network which simultaneously distributes many sources of such data to many customers, as in a cable television system. Customer profiles are developed for the recipient describing how important certain characteristics of the broadcast video program, movie or other data are to each customer. From these profiles, an 'agreement matrix' is calculated by comparing the recipient's profiles to the actual profiles of the characteristics of the available video programs, movies, or other data. The agreement matrix thus characterizes the attractiveness of each video program, movie, or other data to each prospective customer. 'Virtual' channels are generated from the agreement matrix to produce a series of video or data programming which will provide the greatest satisfaction to each customer. Feedback paths are also provided so that the customer's profiles and/or the profiles of the video programs or other data may be modified to reflect actual usage. Kiosks are also developed which assist customers in the selection of videos, music, books, and the like in accordance with the customer's objective profiles.

System and method for providing access to data using customer profiles

A system and method of presenting data from a plurality of data sources or objects which simultaneously distributes many sources of such data to many customers. Customer profiles are developed for the recipient describing how important certain characteristics of the data are to each customer. From these profiles, an 'agreement matrix' is calculated by comparing the recipient's profiles to the actual profiles of the characteristics of the available data. The agreement matrix thus characterizes the attractiveness of each data to each prospective customer, and is used to produce a series of data which will provide the greatest satisfaction to each customer. The customer's profiles and/or the profiles of the data may be modified to reflect actual usage.

System and method for providing access to video programs and other data using customer profiles

An adaptive compression technique which is an improvement to Lempel-Ziv (LZ) compression techniques, both as applied for purposes of reducing required storage space and for reducing the transmission time associated with transferring data from point to point. Pre-filled compression dictionaries are utilized to address the problem with prior Lempel-Ziv techniques in which the compression software starts with an empty compression dictionary, whereby little compression is achieved until the dictionary has been filled with sequences common in the data being compressed. In accordance with the invention, the compression dictionary is pre-filled, prior to the beginning of the data compression, with letter sequences, words and/or phrases frequent in the domain from which the data being compressed is drawn. The letter sequences, words, and/or phrases used in the pre-filled compression dictionary may be determined by statistically sampling text data from the same genre of text. Multiple pre-filled dictionaries may be utilized by the compression software at the beginning of the compression process, where the most appropriate dictionary for maximum compression is identified and used to compress the current data. These modifications are made to any of the known Lempel-Ziv compression techniques based on the variants detailed in 1977 and 1978 articles by Ziv and Lempel.

Lempel-Ziv data compression technique utilizing a dictionary pre-filled with frequent letter combinations, words and/or phrases

System and method for scheduling broadcast of and access to video

Lempel- Ziv data compression technique utilizing a dictionary pre-filled

This invention relates to customized electronic identification of desirable objects, such as news articles, in an electronic media environment, and in particular to a system that automatically constructs both a 'target profile' for each target object in the electronic media based, for example, on the frequency with which each word appears in an article relative to its overall frequency of use in all articles, as well as a 'target profile interest summary' for each user, which target profile interest summary describes the user's interest level in various types of target objects. The system then evaluates the target profiles against the users' target profile interest summaries to generate a user-customized rank ordered listing of target objects most likely to be of interest to each user so that the user can select from among these potentially relevant target objects, which were automatically selected by this system from the plethora of target objects that are profiled on the electronic media. Users' target profile interest summaries can be used to efficiently organize the distribution of information in a large scale system consisting of many users interconnected by means of a communication network. Additionally, a cryptographically-based pseudonym proxy server is provided to ensure the privacy of a user's target profile interest summary, by giving the user control over the ability of third parties to access this summary and to identify or contact the user.

System for generation of object profiles for a system for customized

System for generation of user profiles for a system for customized

A pattern mapping system provides indication of reliability of pattern or category selection indicated by output nodes. The indication of reliability includes a quantitative indication of error in the output and an indication when training is insufficient for the system to respond to the input pattern accurately. The error indication is based on error in the outputs produced by the system as trained in response to given inputs, and accuracy of fit of training data to the output. The insufficiency of the mapping system as trained is determined according to training data density local to the subject input pattern.

Method and apparatus for pattern mapping system with self-reliability

Growing community of inventors

Philadelphia, PA, United States of America

Lyle H Ungar