Algorithms. Revolut Wealth provides you with a model portfolio based on your investment objectives as outlined in the Questionnaire you complete. Model portfolios are generated by Revolut Wealth or third parties and, if generated by the third party, are reviewed by Revolut Wealth prior to recommending. The portfolio is managed via automatic portfolio rebalancing based on Revolut Wealth’s internal algorithms and is designed to reasonably keep your portfolio balanced within certain thresholds, while minimizing the number of rebalances and tax impact. If your portfolio deviates from the initial parameters due to market moves or otherwise, our algorithms will periodically monitor the investments and make adjustments to stay within your initial stated risk tolerance. Rebalancing on a particular date can fail for a variety of technical, operational, or business reasons, which can result in potential losses. Revolut Wealth will monitor algorithmic performance and will correct any failed rebalancing. Revolut Wealth will amend the specific algorithm parameters at any time to enhance portfolio performance and risk. Revolut Wealth may also unilaterally exercise its discretion to rebalance a portfolio.
Algorithms. Except as included in Licensed Technology, access by Orchid to algorithms for data mining and for informatics is not included in the licenses granted herein, but may be the subject of a separate agreement, subject to any Xxxxxxx agreements with third parties.
Algorithms. Key Generation The algorithm GKE:KGen, on input the set of clients C and a security pa- rameter `, performs the following steps:
Algorithms. 3.1. Kadence is comprised of five principle algorithms for tuning (1) signal splits, (2) offsets, (3) cycle time, (4) phase sequence, and (5) time-of-day (XXX schedule). Second-by-second phase timing and detector data is polled from the controller, and new signal timing parameters are downloaded to field controllers every 3-4 cycles (minimum number of cycles is configurable by the user). The field controller then begins operating in an actuated-coordinated mode with the new settings.
Algorithms. 2.5.1.1 Setup A private key generator chooses a random number s ∈ Zq* and set Ppub = sP. Then the private key generator publishes system parameters params = {G1, G2, q, P, Ppub, H1, H2}, and keep s as a master key.
Algorithms. The table below shows the population of the 10 largest urban areas in Denmark. The table is sorted from the most populous to the least populous (Jan 2018, xxx.xxxxxxxx.xx).
Algorithms. 7.3.1. There is no anticipated requirement for the use of GCHQ cipher suites or KeyMat.
Algorithms. The categorization algorithms described here are available in the ACT. Individual evaluation for each of the algorithms has been performed on the Reuters-21578 corpus. The results of the evaluations can be found in the “Performance results” subchapter.
Algorithms. In this section, we propose efficient greedy algorithms to approximate the optimiza- tion objectives for both G-STAC and L-STAC.
Algorithms. We have identified several well-known algorithms that can be adapted to work with for online learning in the presence of imbalanced data. An alternative to algorithm modification is through sampling strategies. But sampling is typically performed as a preprocess to classification, and it does not fit the online context.
