Abstract:
A method and a system are provided for large-scale behavioral targeting for advertising over a network, such as the Internet. In one example, the system receives training data that is processed raw data of user behavior. The system generates selected features by performing feature selection on the training data. The system generates feature vectors from the selected features. The system initializes weights of a behavioral targeting model by scanning the feature vectors once. The system then updates the weights of the behavioral targeting model by scanning iteratively the feature vectors using a multiplicative recurrence.
Abstract:
A method for transmitting packets in a wireless communication network includes taking into consideration an antenna mode prior to transmission. The method includes determining a transmit antenna mode for a transmission between the node and at least one other node; when the transmit antenna mode is omni-directional, broadcasting a transmission schedule for the transmission omni-directionally; and when the transmit antenna is beamforming directional, broadcasting a transmission schedule for the transmission directionally on one or more transmitter beams. The method optionally can also take into consideration an antenna mode of a receive antenna between the node.
Abstract:
A method of communicating within a mesh network comprises scheduling a mesh access reservation time period for transmission of one or more frames by the mesh device on a channel. During the scheduled mesh access reservation time period: contention for the channel is performed with one or more other mesh devices in the network; and at least one frame is transmitted when the mesh device wins the contention. After the scheduled mesh access reservation time period: when one or more frames scheduled for transmission during the scheduled mesh access reservation time period remain to be transmitted; contention for the channel continues; and the one or more frames are transmitted when the mesh device wins the contention for the channel and when another mesh device has not reserved the channel for the time period.
Abstract:
An inventory agent operating on software includes instructions operable to cause a programmable processor to receive inventory data relating to stock in an inventory, apply the inventory data to a conditional probabilistic predictive statistical algorithm, calculate a predicted inventory level, and use the calculated predicted inventory level to determine whether to order additional stock for the inventory. The statistical algorithm uses a conditional probabilistic model to process the data. The inventory agent may be implemented in a supply chain management system.
Abstract:
An optical transmitter relaxes the tolerance between a source assembly and a fiber receptacle to facilitate passive alignment. The source assembly includes a light source and a lens. The lens is held at a fixed distance away from the light source using precise support structures typically formed by photolithographic processes. The fiber receptacle includes an optical element. The fiber receptacle is adapted to hold an optical fiber at a fixed distance from the optical element. The lens substantially collimates light from the light source into the form of collimated light. The optical element focuses the collimated light onto the aperture of the optical fiber.
Abstract:
A protective shield for protecting a feed nozzle encloses, not only the circumference of the feed nozzle, but also encloses and protects the end of the feed nozzle. The protective shield includes an open portion in its end which corresponds to, and surrounds the slit in the end of the feed nozzle. Optimal shape of the open portion is determined by spray visualization tests.