Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

Abstract: A hydraulic motor drive system is disclosed. The hydraulic motor drive system includes a pump, a flow control module fluidly coupled to a discharge of the pump via a first conduit, and a hydraulic motor fluidly coupled to the flow control module via a second conduit and a third conduit, and a controller operatively coupled to the flow control module. The controller is configured to operate the flow control module in a first mode, such that the flow control module blocks fluid communication between the pump and the hydraulic motor via the second conduit, and effects fluid communication between the pump and the hydraulic motor via the third conduit, and operate the flow control module in a second mode, such that the flow control module effects fluid communication between the pump and the hydraulic motor via the second conduit.

Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

Abstract: A method and a system to organize a data set into groups of data subsets in multiple passes using different parameters and to automatically name the groups is disclosed. For example, a data set is retrieved in accordance with a search query submitted by a user. The data set is organized into clusters based on a statistic(s) of the data set. The data set is then organized into groups of data subsets based on an attribute(s) indicated by the data set. Each of the groups are automatically named based on a property shared by data units of the group. The name(s) of a group may be mined from the data units of the group, retrieved from a structure that maps to attribute values indicated by the data units of the group, etc.

Abstract: A method and a system to organize a data set into groups of data subsets in multiple passes using different parameters and to automatically name the groups is disclosed. For example, a data set is retrieved in accordance with a search query submitted by a user. The data set is organized into clusters based on a statistic(s) of the data set. The data set is then organized into groups of data subsets based on an attribute(s) indicated by the data set. Each of the groups are automatically named based on a property shared by data units of the group. The name(s) of a group may be mined from the data units of the group, retrieved from a structure that maps to attribute values indicated by the data units of the group, etc.

Abstract: Systems and methods for using automated translation and other statistical methods to convert a classifier in one language to another language are provided. In one embodiment of the invention, a method preferably includes marking target language examples of passages of text in order to obtain an initial classifier in the target language, re-classifying a plurality of target language examples in the initial classifier, and then questioning—i.e., determining the validity—of the marking used to obtain the initial classifier. Preferably, the questioning is based on the re-classifying. Then, preferably following the questioning, the method isolates a high-quality set of target examples based on the results of the questioning. Finally, the method uses the high-quality set of target examples to prepare a high-quality classifier in the target language.

Abstract: A method and a system to organize a data set into groups of data subsets in multiple passes using different parameters and to automatically name the groups is disclosed. For example, a data set is retrieved in accordance with a search query submitted by a user. The data set is organized into clusters based on a statistic(s) of the data set. The data set is then organized into groups of data subsets based on an attribute(s) indicated by the data set. Each of the groups are automatically named based on a property shared by data units of the group. The name(s) of a group may be mined from the data units of the group, retrieved from a structure that maps to attribute values indicated by the data units of the group, etc.

Abstract: A method and a system to organize a data set into groups of data subsets in multiple passes using different parameters and to automatically name the groups is disclosed. For example, a data set is retrieved in accordance with a search query submitted by a user. The data set is organized into clusters based on a statistic(s) of the data set. The data set is then organized into groups of data subsets based on an attribute(s) indicated by the data set. Each of the groups are automatically named based on a property shared by data units of the group. The name(s) of a group may be mined from the data units of the group, retrieved from a structure that maps to attribute values indicated by the data units of the group, etc.

Abstract: A method and a system to organize a data set into groups of data subsets in multiple passes using different parameters and to automatically name the groups is disclosed. For example, a data set is retrieved in accordance with a search query submitted by a user. The data set is organized into clusters based on a statistic(s) of the data set. The data set is then organized into groups of data subsets based on an attribute(s) indicated by the data set. Each of the groups are automatically named based on a property shared by data units of the group. The name(s) of a group may be mined from the data units of the group, retrieved from a structure that maps to attribute values indicated by the data units of the group, etc.

Abstract: A method and a system to automatically segment text based on header tokens is described. A relevance value and an irrelevance value are determined for each token in a description, assuming no tokens are left out of computations. The irrelevance value is based on occurrences of a token in a sample set of descriptions. The relevance value is an estimated probability of relevance based on the header of the description being segmented.

Abstract: A method and a system to organize a data set into groups of data subsets in multiple passes using different parameters and to automatically name the groups is disclosed. For example, a data set is retrieved in accordance with a search query submitted by a user. The data set is organized into clusters based on a statistic(s) of the data set. The data set is then organized into groups of data subsets based on an attribute(s) indicated by the data set. Each of the groups are automatically named based on a property shared by data units of the group. The name(s) of a group may be mined from the data units of the group, retrieved from a structure that maps to attribute values indicated by the data units of the group, etc.

Abstract: Systems and methods for using automated translation and other statistical methods to convert a classifier in one language to another language are provided. In one embodiment of the invention, a method preferably includes marking target language examples of passages of text in order to obtain an initial classifier in the target language, re-classifying a plurality of target language examples in the initial classifier, and then questioning—i.e., determining the validity—of the marking used to obtain the initial classifier. Preferably, the questioning is based on the re-classifying. Then, preferably following the questioning, the method isolates a high-quality set of target examples based on the results of the questioning. Finally, the method uses the high-quality set of target examples to prepare a high-quality classifier in the target language.

Abstract: A control system is provided for a vibratory conveyor including a detector applicable to detect when the depth of product on the conveyor is at a determined minimum value. The product-conveying rate of the conveyor is adjusted so that the depth is maintained at or around the minimum value. This is done by logging the total time, during a given period, for which the depth of the product exceeds, or falls below, the determined minimum value, and varying the product-conveying rate depending upon whether the total time that product is detected is more or less than a given percentage of the period.

Abstract: A packaging machine is described for forming, filling and sealing bags with a product. The machine forms a film into an elongate, side-sealed tube as it travels in a first direction, and severs the elongate tube into individual, open-ended, bag-length elements. These are then transported in a second direction transverse to the first direction, and a bottom seal formed on them to convert them into open-topped bags. A carousel is arranged to receive the open-topped bags. Product is introduced into each of the open-topped bags, and a top seal formed on each of them to convert them into filled, sealed bags, as the bags travel round the carousel.

Abstract: A data sector/servo split generator is disclosed for a disk drive apparatus implementing a zone bit recording format and having an embedded sector servo system where servo sector fields split at least one data field on a surface of a disk in the disk drive apparatus. A first counter is provided to count an amount of time to the beginning of a data field, and a first signal (SECTOR) is generated to indicate when the beginning of a data field is encountered by a read/write head in the disk drive. A second signal (SPLIT.sub.-- VALID) is generated by the data sector/servo split generator if a next data field after the generation of the SECTOR signal is split by a servo sector field. A second counter counts a predetermined number of data bytes transferred between a surface of a disk in said disk drive apparatus and said disk controller, so that a third signal (SPLIT) is generated, the SPLIT.sub.-- VALID signal is generated, when a servo sector is encountered in a data field by the read/write head.

Abstract: A removable disk drive is combined with a protective device for use in a computer. The protective device is constructed as a jacket made of resilient material, the jacket enclosing at least a portion of the surface of the disk drive. In one embodiment, the disk drive includes a substantially rigid disk in a housing having a footprint that includes a first dimension of about 35 mm. In another embodiment, the removable disk drive includes a housing and a substantially rigid disk having a diameter in the range of from about 33 mm to about 34 mm.

Abstract: Disclosed is a information storage device including a disk drive and a shock absorbent jacket for enclosing the drive. The jacket in one embodiment is comprised of a resilient material, the jacket being designed to protect the drive for shock forces imposed from any direction. In one embodiment the disk drive has a housing with a first external dimension of about 51 mm. In another embodiment, the disk drive includes a recording disk having a diameter in the range of from about 45 mm to about 50 mm. The jacket at least partially encloses each external surface of the disk drive. The jacket and the disk drive are retained within an electronic instrument.