Abstract: A machine-learned model receives an audio signal representing a spoken sequence of utterances for classification. The model repeatedly processes utterance pairs in a sequence of (u0, u1), (u1, u2), . . . (un-1, un) to generate prediction of target utterances. Each of the utterance pairs comprises a target utterance paired with another one of the utterances.

Abstract: In the present approach, a master computing system directs slave computing systems in the purchasing of advertising within one or more online advertising channels by building a set of models for predicting the outcome of advertising purchases based on data received from the advertising channels, evaluating those models to determine which one(s) to use, allocating an advertiser's budget across the slave systems and channels for a given time period, and adjusting those allocations during the time period based on performance results received from the slave systems. In turn, the slave systems attempt to purchase advertisements within their channels based on their allocation and adjustments and report performance results back to the master system.

Abstract: A clustered computational system comprises a clustered computational engine, a program host, and a queue manager. The clustered computational engine comprises a plurality of clustered computers and is configured to perform computations. The program host stores a plurality of programs that define computations that can be performed by the clustered computational engine and a plurality of inputs to the programs. The queue manager is configured to determine when the program host has stored sufficient inputs to allow the clustered computational engine to perform a computation defined by the program and to schedule the performance of the computation by the clustered computational engine.

Abstract: Using methods, computer-readable storage media, and apparatuses for computer-implemented processing, a passage of text may be variably rendered. For each glyph in the passage of text, a glyph representation is varied according to a geometric transformation that was determined from statistical measurements of at least one geometric property from an ensemble of representations of the current glyph. Each varied glyph representation is included in renderable output data, such that when the passage of text is rendered to an output device, a given rendered representation of a given glyph subtly differs from other rendered representations of the given glyph.

Abstract: Using methods, computer-readable storage media, and apparatuses for computer-implemented processing, a passage of text may be variably rendered. For each glyph in the passage of text, a glyph representation is varied according to a geometric transformation that was determined from statistical measurements of at least one geometric property from an ensemble of representations of the current glyph. Each varied glyph representation is included in renderable output data, such that when the passage of text is rendered to an output device, a given rendered representation of a given glyph subtly differs from other rendered representations of the given glyph.

Abstract: A clustered computational system comprises a clustered computational engine, a program host, and a queue manager. The clustered computational engine comprises a plurality of clustered computers and is configured to perform computations. The program host stores a plurality of programs that define computations that can be performed by the clustered computational engine and a plurality of inputs to the programs. The queue manager is configured to determine when the program host has stored sufficient inputs to allow the clustered computational engine to perform a computation defined by the program and to schedule the performance of the computation by the clustered computational engine.

Abstract: Using methods, computer-readable storage media, and apparatuses for computer-implemented processing, an image of handwritten text may be segmented into a disjoint component image corresponding to individual glyphs connected by ligatures. The disjoint component image is skeletonized into a grid graph, and a connected path traversing the ligatures is determined. The disjoint component image is segmented into non-overlapping segments based on connected graphs corresponding to edges in the disjoint component image, where sets of adjacent non-overlapping segments correspond to the individual glyphs. Glyph geometry may be varied by obtaining an ensemble of glyph representations, each characterized by measurable geometric glyph properties. For each geometric glyph property, target values are obtained from ensemble-wide statistical distribution functions, and the target values are used to transform a base glyph representation into a target glyph representation.

Abstract: An automatic word segmentation and glyph variation system and method are provided herein.

Abstract: A content targeted advertising performance optimization system and method are provided herein.

Abstract: A clustered computational system comprises a clustered computational engine, a program host, and a queue manager. The clustered computational engine comprises a plurality of clustered computers and is configured to perform computations. The program host stores a plurality of programs that define computations that can be performed by the clustered computational engine and a plurality of inputs to the programs. The queue manager is configured to determine when the program host has stored sufficient inputs to allow the clustered computational engine to perform a computation defined by the program and to schedule the performance of the computation by the clustered computational engine.