Abstract: A master-slave scheduling system, comprising (a) a master DRL unit comprising: (i) a queue containing a plurality of item-representations; (ii) a master policy module configured to select a single item-representation from the queue and submit to the slave unit; (iii) a master DRL agent configured to (a) train the master policy module; and (b) receive an updated item-representation from the slave unit, and update the queue; (b) The slave DRL unit comprising: (i) a slave policy module receiving a single item-representation, selecting a single task entry and submitting to a slave environment for performance; (ii) a slave DRL agent configured to: (a) train the slave policy module; (b) receive an item-representation from the master DRL unit, and submit to the slave policy module; (c) receive an updated item-representation from the slave's environment, and submit the same to the master DRL unit; and (iii) the slave DRL agent.

Abstract: An automatic computer implemented method for making classification decisions to provide a desired policy that optimizes multi-objective tasks with contradicting constrains. Time and resources constrains that correspond to a predetermined level of acceptable cost are defined, as well as a cost function that represents the acceptable cost while considering the constrains. A plurality of analysis and processing modules are deployed in a computational environment, for processing data associated with the computational environment and returning results, along with indications regarding the level of confidence of the results. providing at least one agent for evaluating the results returned by each module, using a neural network being trained to dynamically determine when the level of confidence is sufficient, using one module, and if found insufficient, using more modules.

Abstract: A master-slave scheduling system, comprising (a) a master DRL unit comprising: (i) a queue containing a plurality of item-representations; (ii) a master policy module configured to select a single item-representation from the queue and submit to the slave unit; (iii) a master DRL agent configured to (a) train the master policy module; and (b) receive an updated item-representation from the slave unit, and update the queue; (b) The slave DRL unit comprising: (i) a slave policy module receiving a single item-representation, selecting a single task entry and submitting to a slave environment for performance; (ii) a slave DRL agent configured to: (a) train the slave policy module; (b) receive an item-representation from the master DRL unit, and submit to the slave policy module; (c) receive an updated item-representation from the slave's environment, and submit the same to the master DRL unit; and (iii) the slave DRL agent.

Abstract: A method for performing blind channel estimation for an MLSE receiver in a communication channel, according to which Initial Metrics Determination Procedure (IMDP) is performed using joint channel and data estimation in a decision directed mode. This is done by generating a bank of initial metrics that assures convergence, based on initial coarse histograms estimation, representing the channel and selecting a first metrics set M from the predefined bank. Then an iterative decoding procedure is activated during which, a plurality of decision-directed adaptation learning loops are carried out to perform an iterative histograms estimation procedure for finely tuning the channel estimation. Data is decoded during each iteration, based on a previous estimation of the channel during the previous iteration. If convergence is achieved, ISI optimization that maximizes the amount of ISI that is compensated by the MLSE is performed.

Abstract: A method for protecting user privacy in an online social network, according to which negative examples of fake profiles and positive examples of legitimate profiles are chosen from the database of existing users of the social network. Then, a predetermined set of features is extracted for each chosen fake and legitimate profile, by dividing the friends or followers of the chosen examples to communities and analyzing the relationships of each node inside and between the communities. Classifiers that can detect other existing fake profiles according to their features are constructed and trained by using supervised learning.

Abstract: A method for estimating the phase of a modulated complex optical signal, according to which, the phase of the signal is isolated and the complex amplitude of the signal is digitized by a block of P samples. An adaptive filter minimizes phase-error between the phase of the received symbol and the phase of a sample, rotated by a phase correction factor, by iteratively performing a Block-Wise Phase LMS estimation on the samples using a step size parameter. During each iteration, the resulting correction factor consists of the sum of the estimated errors multiplied by this parameter, and the correction factor of previous iteration, which is updated, until obtaining the final correction factor from the last iteration. The samples constituting the received signal are recovered by adding the most updated correction factor to the phase of each sample and performing a decision regarding the phase of each sample.

Abstract: An optical modulator with a region with non-linear characteristics with optimized BER performance, which comprises circuitry for adjusting the spacing between power levels of optical signals at the output of the optical modulator by adjusting the bias point of the optical modulator to be closer to a nonlinear region of the modulator, such that modulating signals having lower power will be compressed by the nonlinear region more than modulating signals having higher power. During adjustment, larger spacing between higher power levels of optical signals is introduced at the output of the optical modulator and lower spacing between lower power levels of optical signals is introduced at the output of the optical modulator.

Abstract: Method and system for optimally equalizing distortion of an optical data channel carrying coherent optical signals with a given analog bandwidth B. A receiving end with IQ paths receives signals and a balanced detector detects signals in each path. The bandwidth of the detected signals is reduced by a factor of N by filtering the output of each path using an AAF with a cutoff frequency optimized to the analog bandwidth 2B/N of each path, where the AAF has deterministic attributes and introducing Known ISI. The signal is sampled at the AAF output by an ADC, at a sampling rate of 2B/N. The samples of each path are post-processed by a digital processor operating at a data rate of 2B/N, where post-processing represents the compensation of the distortion and the input data stream is reconstructed by optimally decoding the output of the processor using a decoder, which compensates the ISI.

Abstract: A method for estimating the phase of a modulated complex optical signal, according to which, the phase of the signal is isolated and the complex amplitude of the signal is digitized by a block of P samples. An adaptive filter minimizes phase-error between the phase of the received symbol and the phase of a sample, rotated by a phase correction factor, by iteratively performing a Block-Wise Phase LMS estimation on the samples using a step size parameter. During each iteration, the resulting correction factor consists of the sum of the estimated errors multiplied by this parameter, and the correction factor of previous iteration, which is updated, until obtaining the final correction factor from the last iteration. The samples constituting the received signal are recovered by adding the most updated correction factor to the phase of each sample and performing a decision regarding the phase of each sample.

Abstract: A context-based recommendation process running in a cloud based system is presented. The process utilizes the capabilities of mobile communication networks and devices to provide businesses with the ability to supply sets of coupons to potential customers in a cost effective manner. The process uses real time and historical information that is provided by various sensors on a customer's smart mobile device to derive the customer's context. To make a recommendation, the system determines the current context of the customer and selects the right offer for the current context. The context is defined as both the external and internal environments in which the customer is active.

Abstract: The invention is a recommendation process that can be used by operators of a coupon recommendation system to utilize information about the social interactions between users of mobile devices in order to supply coupons to users who are potential customers of a business in a manner that maximizes the chances that the offered coupon will be consumed.

Abstract: The present invention is a method for recommending coupons to consumers. The method is mainly designed to be carried out using the infrastructure of mobile communication networks, e.g. internet and cellular networks, and to deliver the coupons directly to the mobile devices of consumers. The method of the invention is a promotion framework that is designed to allow a service provider to propose to different businesses the option of promoting their business by offering coupons/discounts/offers to their potential customers. The goal of the method is to maximize consumption of the coupons/discounts/offers while minimizing the cost to the businesses offering the coupons.

Abstract: A method for protecting user privacy in an online social network, according to which negative examples of fake profiles and positive examples of legitimate profiles are chosen from the database of existing users of the social network. Then, a predetermined set of features is extracted for each chosen fake and legitimate profile, by dividing the friends or followers of the chosen examples to communities and analyzing the relationships of each node inside and between the communities. Classifiers that can detect other existing fake profiles according to their features are constructed and trained by using supervised learning.

Abstract: A method for performing blind channel estimation for an MLSE receiver in a communication channel, according to which Initial Metrics Determination Procedure (IMDP) is performed using joint channel and data estimation in a decision directed mode. This is done by generating a bank of initial metrics that assures convergence, based on initial coarse histograms estimation, representing the channel and selecting a first metrics set M from the predefined bank. Then an iterative decoding procedure is activated during which, a plurality of decision-directed adaptation learning loops are carried out to perform an iterative histograms estimation procedure for finely tuning the channel estimation. Data is decoded during each iteration, based on a previous estimation of the channel during the previous iteration. If convergence is achieved, ISI optimization that maximizes the amount of ISI that is compensated by the MLSE is performed.

Abstract: Method and system for optimally equalizing distortion of an optical data channel carrying coherent optical signals with a given analog bandwidth B. A receiving end with IQ paths receives signals and a balanced detector detects signals in each path. The bandwidth of the detected signals is reduced by a factor of N by filtering the output of each path using an AAF with a cutoff frequency optimized to the analog bandwidth 2B/N of each path, where the AAF has deterministic attributes and introducing Known ISI. The signal is sampled at the AAF output by an ADC, at a sampling rate of 2B/N. The samples of each path are post-processed by a digital processor operating at a data rate of 2B/N, where post-processing represents the compensation of the distortion and the input data stream is reconstructed by optimally decoding the output of the processor using a decoder, which compensates the ISI.

Abstract: A method and apparatus for adapting the looks of an at least one control developed in an environment to a portal developed in a different environment. The apparatus and method enable the preview of a component comprising the control without deploying the changes to the portal, so other users can continue using the component in an uninterrupted manner until deployment.

Abstract: A method and apparatus for adapting the looks of an at least one control developed in an environment to a portal developed in a different environment. The apparatus and method enable the preview of a component comprising the control without deploying the changes to the portal, so other users can continue using the component in an uninterrupted manner until deployment.