At+t Corp.

Yoram Singer

Robert Elias Schapire

Mazin G Rahim

Narendra Kumar Gupta

Hiyan Alshawi

Loren Gilbert Terveen

William W Cohen

William Colyer Hill

Fernando Carlos Pereira

Giuseppe DiFabrizzio

Giuseppe DiFabbrizio

A system for understanding entries, such as speech, develops a classifier by employing prior knowledge with which a given corpus of training entries is enlarged threefold. A rule is created for each of the labels employed in the classifier, and the created rules are applied to the given corpus to create a corpus of attachments by appending a weight of &#x3b7;p(x), or 1&#x2212;&#x3b7;p(x), to labels of entries that meet, or fail to meet, respectively, conditions of the labels' rules, and to also create a corpus of non-attachments by appending a weight of 1&#x2212;&#x3b7;p(x), or &#x3b7;p(x), to labels of entries that meet, or fail to meet conditions of the labels' rules.

Spoken language understanding that incorporates prior knowledge into boosting

A system for understanding entries, such as speech, develops a classifier by employing prior knowledge with which a given corpus of training entries is enlarged threefold. A rule is created for each of the labels employed in the classifyier, and the created rules are applied to the given corpus to create a corpus of attachments by appending a weight of &#x3b7;p(x), or 1&#x2212;&#x3b7;p(x), to labels of entries that meet, or fail to meet, respectively, conditions of the labels' rules, and to also create a corpus of non-attachments by appending a weight of 1&#x2212;&#x3b7;p(x), or &#x3b7;p(x), to labels of entries that meet, or fail to meet conditions of the labels' rules.

A method and apparatus are provided for multi-class, mutli-label information categorization. A weight is assigned to each information sample in a training set, the training set containing a plurality of information samples, such as text documents, and associated labels. A base hypothesis is determined to predict which labels are associated with a given information sample. The base hypothesis predicts whether or not each label is associated with information sample or predicts the likelihood that each label is associated with the information sample. In the case of a document, the base hypothesis evaluates words in each document to determine one or more words that predict the associated labels. When a base hypothesis is determined, the weight assigned to each information sample in the training set is modified based on the base hypothesis predictions.

Method and apparatus for multi-class, multi-label information categorization

An information retrieval system finds information in a Distributed Information System (DIS), e.g. the Internet using query learning and meta search for adding documents to resource directories contained in the DIS. A selection means generates training data characterized as positive and negative examples of a particular class of data residing in the DIS. A learning means generates from the training data at least one query that can be submitted to any one of a plurality of search engines for searching the DIS to find &ldquo;new&rdquo; items of the particular class. An evaluation means determines and verifies that the new item(s) is a new subset of the particular class and adds or updates the particular class in the resource directory.

System and method for finding information in a distributed information system using query learning and meta search

Myoelectric and wireless technologies are used for the control of a portable electronic device, such as a cellular telephone or a personal digital assistant (PDA). That is, a portable electronic device has a wireless myoelectric user interface. An apparatus includes a material which forms a forearm or wrist band, myoelectric sensors attached to the band, a digital processor coupled to the myoelectric sensors, and a wireless transmitter coupled to the digital processor. The apparatus is operative to sense and detect particular hand and/or finger gestures, and to broadcast control signals corresponding to the gestures for operative control of the portable electronic device.

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Murray Hill, NJ, United States of America

Yoram Singer