Patent application number | Description | Published |
20080300857 | METHOD FOR ALIGNING SENTENCES AT THE WORD LEVEL ENFORCING SELECTIVE CONTIGUITY CONSTRAINTS - An alignment method includes, for a source sentence in a source language, identifying whether the sentence includes at least one candidate term comprising a contiguous subsequence of words of the source sentence. A target sentence in a target language is aligned with the source sentence. This includes developing a probabilistic model which models conditional probability distributions for alignments between words of the source sentence and words of the target sentence and generating an optimal alignment based on the probabilistic model, including, where the source sentence includes the at least one candidate term, enforcing a contiguity constraint which requires that all the words of the target sentence which are aligned with an identified candidate term form a contiguous subsequence of the target sentence. | 12-04-2008 |
20080317358 | CLASS-BASED IMAGE ENHANCEMENT SYSTEM - A method for image enhancement includes providing for a semantic class to be assigned to a digital image based on image content, the assigned semantic class being selected from a plurality of semantic classes. The method further includes providing for an aesthetic enhancement to be applied to the image based on image quality of the image and the assigned semantic class, the enhancement including at least one enhancement dimension selected from a plurality of enhancement dimensions. | 12-25-2008 |
20100172588 | METHOD FOR ASSEMBLING A COLLECTION OF DIGITAL IMAGES - A method for recommending a collection of digital images from a set of images includes specifying at least one image selection criterion. For each of a plurality of images in the set of images, an image quality value for the image is determined. Images are recommended for the collection by taking into consideration the image quality value for the images and the degree to which the collection satisfies the at least one image selection criterion. | 07-08-2010 |
20110010571 | PRINTER TIME-OUT - A system and a method of providing a time-out for a device, such as a printer are provided. The time-out determines when the device is shifted from a higher energy to a lower energy mode, absent the arrival of another job to be processed by the device. The method includes acquiring data comprising a set of inter-arrival times for at least one device over a period of time, such as a week and, for each of a set of candidate time-outs, deriving a probability from the data that an inter-arrival time from the set of inter-arrival times is greater than the candidate time-out. A cost function is computed, based on the derived probability and a robustness term which allows adversarial action not predicted by the histogram to be taken into account. A time-out for the at least one device can then be identified for which the cost function is a minimum. | 01-13-2011 |
20110077991 | METHODS FOR SUPPLY CHAIN MANAGEMENT - According to various embodiments, the present teachings include inventory control policies that are defined in terms of functions of aggregate cost rates, involving thresholds Ω and an order-up-to point S. An embodiment of the present teachings includes a method. The method includes tracking an inventory position of each of the plurality of items by a logistics network and determining an item cost rate for each of the plurality of items based on the tracked inventory position. The method also includes determining an aggregate cost rate for the plurality of items based on the determined item cost rates, comparing the aggregate cost rate with a cost rate threshold Ω, and ordering the plurality of items to an order-up-to point S if the compared aggregate cost rate is greater than or equal to the cost rate threshold Ω. | 03-31-2011 |
20110178975 | SOLVING CONTINUOUS STOCHASTIC JUMP CONTROL PROBLEMS WITH APPROXIMATE LINEAR PROGRAMMING - In a scheduling or planning process, a hybrid process is determined representing operation of a system. The hybrid process includes stochastic jumps. An approximate linear program is constructed respective to the hybrid process and a set of control actions for controlling the system. The approximate linear program includes a stochastic jump constraint term representative of stochastic jumps of the hybrid process. The approximate linear program is solved. The system is controlled based on the solved approximate linear program. | 07-21-2011 |
20110184818 | TRUTH SIGNALS - A method and apparatus for paying for an existing report are provided. In the method, an existing report for which a first structure of entities is identified is received. Thereafter, a set of other reports for which respective second structures of entities are identified is received. A weighting for other reports in the set of other reports is assigned, based on the respective structures. A payment for the existing report is extracted based on the weighting, a selected scoring rule, and the set of other reports. | 07-28-2011 |
20110202434 | METHODS FOR SUPPLY CHAIN MANAGEMENT - According to various embodiments, the present teachings include inventory control policies that are defined in terms of functions of aggregate cost rates, involving thresholds Ω and an order-up-to point S. An embodiment of the present teachings includes a method. The method includes tracking an inventory position of each of the plurality of items by a logistics network and determining an item cost rate for each of the plurality of items based on the tracked inventory position. The method also includes determining an aggregate cost rate for the plurality of items based on the determined item cost rates, comparing the aggregate cost rate with a cost rate threshold Ω, and ordering the plurality of items to an order-up-to point S if the compared aggregate cost rate is greater than or equal to the cost rate threshold Ω. | 08-18-2011 |
20110302000 | MACHINE LEARNING FOR OPTIMIZATION AND SERVICES - A valuation optimization method includes generating offeree decision information (buyer decision information, by way of illustrative example) by presenting a sequence of mechanisms to a sequence of offerees wherein the mechanisms comprise menus of transaction offers (sale offer menus, by way of illustrative example). Actual transactions (sale transactions, by way of illustrative example) are conducted responsive to acceptances of transaction offers by buyers. At a selected time in the generating, an offeree valuation distribution belief and the current mechanism are updated optimize an offeree's utility. The offeree's utility comprises an offeree's utility function constrained by a robust learning constraint computed based on a local differential of an earlier offeree's utility function with respect to the earlier offeree's valuation. | 12-08-2011 |
20110302002 | LEARNING OPTIMAL PRICES - A method comprises: presenting a plurality of offers to one or more offerees, the offers including at least one non-deterministic offer having non-deterministic consideration for the offeree; conducting business activity including the presenting and further including at least one actual business transaction executed in response to an acceptance by an offeree of one of the plurality of offers; receiving offeree decision data during the conducting of business activity; and generating valuation information based on the offeree decision data. Optionally the method further includes generating a new offer based on the generated valuation information and conducting additional business activity including presenting the new offer. Optionally the method is performed using n offeree folds wherein the generating of a new offer for an i | 12-08-2011 |
20110302013 | MULTI-DIMENSIONAL PRICE DETERMINATION - A system and method are provided. The method includes establishing a current belief about the multidimensional distribution of buyers' valuations for at least one item, and, based on the current belief, proposing at least one pricing mechanism, each pricing mechanism establishing a price for the at least one item. Observed buyers' responses to at least one of the set of proposed pricing mechanisms are stored. Region censored updates to the belief about the multidimensional distribution of buyers' valuations are conducted, based on the observed responses, to generate a new belief about the multidimensional distribution of buyers' valuations. Based on the new belief, a pricing mechanism establishing a price for the at least one item is proposed, that is expected to improve a seller's welfare under the new belief, relative to the originally proposed mechanism or mechanisms. | 12-08-2011 |
20110302041 | LIMITED LOTTERY INSURANCE - A system and method for conducting a lottery for at least one item are provided. The method includes, for each of a plurality of buyers, receiving a buyer's declared valuation for each of at least one item being offered in a lottery by a seller, the item having an assigned non-deterministic probability of being allocated to the buyer, providing insured prices for outcomes of the lottery which are a function of the buyer's declared valuation of the at least one item, randomly drawing an allocation of each of the at least one item to a respective one of the buyers, based on its assigned non-deterministic probability, and allocating the insured prices to the buyers based on respective outcomes of the random drawing. | 12-08-2011 |
20130262059 | MODEL FOR USE OF DATA STREAMS OF OCCUPANCY THAT ARE SUSCEPTIBLE TO MISSING DATA - A system and method for generating an occupancy model are disclosed. The model is learned using occupancy data for zones, each zone including cells, which are occupied or not at a given time, each with a sensor, which may be reporting or not. The data provides an observed occupancy corresponding to a number of cells in the respective zone which have reporting sensors, and the number of those sensors which are reporting that the respective cell is occupied. The occupancy model is based on a demand model and a sensor noise model which accounts for behavior of the non-reporting sensors. The noise model assumes that the probability of a sensor being in the reporting state is dependent on whether the respective cell is occupied or not. The model can fit the occupancy data better than one which assumes that non-reporting cells are occupied with the same frequency as reporting ones. | 10-03-2013 |
20150051956 | SIMPLE PRICING BY PRICE-DIFFERENCE REGULARIZATION - A method and system for determining an optimized price schedule that controls the simplicity of a price schedule while maintaining efficiency in terms of welfare. A welfare function and a simplicity metric representing a simplicity of price schedules are determined. A full objective, corresponding to a comparison of the welfare with respect to the simplicity of each price schedule is determined and an optimized price schedule, representing the schedule having the highest computed full objective, is output. | 02-19-2015 |