Ensemble Sample Clauses

Ensemble. This part exploits the classification results of the two models the DidaxTo (Figure 3) and The HyCoR (Figure 5). After experimentation on a set of datasets (Figure 6) the following decision tree (as seen in Figure 7) was created to implement the ensemble process.
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Ensemble. This parameter controls the build-up of the reverb sound. Character 1 has a rapid, natural build-up. Character 2 has a slower build-up with an accentuated, enveloping sound. Character 3 has a clearly audible, gradual, slow build-up. These 3 characters allow for a very wide range of reverb sounds. This is an ensemble effect that originates from within the core structure that makes up the reverb effect. It modulates the pitch of the incoming sound, with a depth that increases throughout the duration of the reverb. Being a true, in-reverb effect, it can add richness to the sound without compromising the reverb’s spaciousness or clarity. At level “0” the Ensemble effect is off. At levels 1 to 5, it’s on, and at levels 6 to 10, it’s on with an additional modulation stage that creates an even more distinct sound. Predelay (with Tempo Sync button), Brightness and Hi Decay PREDELAY - This is the time between the input signal and the start of the reverb sound. Rev-A provides a predelay time range from 0 to 800 milliseconds. TEMPO SYNC - The small button above the Predelay knob allows to synchronize the predelay time to the project’s tempo, with a time signature based on full, triplet or dotted beats. Presets are saved with both the normal and tempo sync modes’ predelay values. BRIGHTNESS - This parameter adjusts the audio frequency at which a static low-pass filter is applied. It has an important role in simulating the properties of different listening spaces. Rev-A’s high quality processing ensures that at level 10, the reverb’s sound is pellucid, with high frequencies unattenuated. HI DECAY - This parameter simulates the natural phenomena of more rapid absorption of the high frequency components in a reverb’s sound. Lower levels allow a quicker decay of high frequencies, and higher levels allow a slower decay. Rev-A’s high quality processing ensures optimal sound quality with each setting, and at level 10, it eliminates any perceptible absorption of high frequencies throughout the entire duration of the reverb. Diffusion, Tilt and Low Tilt DIFFUSION - This knob controls the density of the reverb effect. When set to 0, the diffusion is off. When the diffusion is off or set to a low level, the reverberation can sound sparse and the individual echoes that make up the reverb effect may be perceptible. At higher levels, the reverberation can sound denser or smoother, and individual echoes are imperceptible. TILT - This knob tilts the reverb’s entire frequency response...
Ensemble. Multiple instances of an application launched in parallel with different input data; each such instance may be a monolithic parallel code, itself running at extreme scale. These are now becoming part of highly complex data intensive workflows combining conventional HPC applications with machine learning and/or AI components, as well as for validation, verification and uncertainty quantification. This categorisation is not unique to CompBioMed, it is recognized widely in the HPC community as key “usage patterns”. It is worth mentioning that the Ensemble pattern is sometimes considered as two separate class: ensemble and complex workflows. In this document we discuss it as a single class. These patterns represent significant differences in the deployment strategy that should be taken into account when assessing scaling and performance as part of exascale readiness. In CompBioMed, and inheriting the characteristics of the computational medicine domain, we have applications falling under the three aforementioned patterns.
Ensemble. Crucial to the productivity of the rehearsal process as well as the dynamics of the performance is the cultivation of an ensemble among the company of actors and the production team. To that end the actor should endeavor to:

Related to Ensemble

  • VOETSTOOTS The PROPERTY is sold:

  • Executive Management The PH-MCO must include in its Executive Management structure: • A full-time Administrator with authority over the entire operation of the PH-MCO. • A full-time HealthChoices Program Manager to oversee the operation of the Agreement, if different than the Administrator. • A full-time Medical Director who is a current Pennsylvania-licensed physician. The Medical Director must be actively involved in all major clinical program components of the PH-MCO and directly participates in the oversight of the SNU, QM Department and UM Department. The Medical Director and his/her staff/consultant physicians must devote sufficient time to the PH-MCO to provide timely medical decisions, including after-hours consultation, as needed. • A full-time Pharmacy Director who is a current Pennsylvania-licensed pharmacist. The Pharmacy Director oversees the outpatient drug management and serves on the PH-MCO P&T Committee. • A Dental Director who is a current Pennsylvania-licensed Doctor of Dental Medicine or Doctor of Dental Surgery. The Dental Director may be a consultant or employee but must be available at a minimum of 30 hours per week. The Dental Director must be actively involved in all program components related to dental services including, but not limited to, dental provider recruitment strategy, assessment of dental network adequacy, providing oversight and strategic direction in the quality of dental services provided, actively engaged in the development and implementation of quality initiatives, and monitor the performance of the dental benefit manger if dental benefits are subcontracted. A full-time Director of Quality Management who is a Pennsylvania- licensed RN, physician or physician's assistant or is a Certified Professional in Healthcare Quality by the National Association for Healthcare Quality Certified in Healthcare Quality and Management by the American Board of Quality Assurance and Utilization Review Providers. The Director of Quality Management must be located in Pennsylvania and have experience in quality management and quality improvement. Sufficient local staffing under this position must be in place to meet QM Requirements. The primary functions of the Director of Quality Management position are: • Evaluate individual and systemic quality of care • Integrate quality throughout the organization • Implement process improvement • Resolve, track, and trend quality of care complaints • Develop and maintain a credentialed Provider network • A full-time CFO to oversee the budget and accounting systems implemented by the PH-MCO. The CFO must ensure the timeliness and accuracy of all financial reports. The CFO shall devote sufficient time and resources to responsibilities under this Agreement. • A full-time Information Systems Coordinator, who is responsible for the oversight of all information systems issues with the Department. The Information Systems Coordinator must have a good working knowledge of the PH-MCO's entire program and operation, as well as the technical expertise to answer questions related to the operation of the information system. • These full time positions must be solely dedicated to the PA HealthChoices Program.

  • Information Systems The Official Agency in conjunction with the Authority will meet the relevant requirements of Articles 131 to 136 of Regulation (EU) 2017/625 and Implementing Regulation (EU) 2019/1715 as appropriate to the Official Agency. The Official Agency shall record appropriate data in the Official Agency Premises Inspection database (OAPI), which will be further developed over the life of the contract. Data should be entered into the database on an ongoing basis but shall be entered within one month of the activity taking place, unless otherwise agreed with the Authority.

  • Information Management Information and Records

  • Adaptive Management ‌ This CCAA is based on the principles of Adaptive Management set out in 65 Fed. Reg. at 35,242. The adaptive management process is a structured approach for dealing with uncertainty. The adaptive management process develops hypotheses regarding uncertainty and research to test those hypotheses in an iterative process to develop effective strategies for minimizing the uncertainty. The signatories to this CCAA agree and recognize that implementation of the Conservation Strategy objectives and criteria, Conservation Measures and Actions, and the Covered Area may change as new science emerges. The effectiveness of the Conservation Strategy objectives and criteria, Conservation Measures, Conservation Actions, monitoring methods, and new technologies will be reviewed by the Administrator on an annual basis, with input from the Adaptive Management Committee. The Adaptive Management Committee will be responsible for reviewing and evaluating the effectiveness of Conservation Program under the 2020 DSL CCAA as described in Sections 2.0 and 16.1, including the effectiveness and implementation of the Conservation Strategy, Conservation Measures and Conservation Actions; setting priorities for DSL Habitat conservation and monitoring habitat loss; and recommending changes to any aspect of the Conservation Program based on new science. As a result, appropriate modifications to the Conservation Measures and Actions may be incorporated to further refine the goals and objectives of this 2020 DSL CCAA. Such modifications are incorporated into existing CIs, if they were identified in changed circumstances in the 2020 DSL CCAA. Modifications not related to changed circumstances identified in the 2020 DSL CCAA and instead related to unforeseen circumstances may be incorporated into new CIs that take effect after the modifications have been made and to existing CIs only with written consent from the Participants and Service. Additionally, research projects that are designed to determine the effectiveness of management practices will be encouraged and utilized to determine what Adaptive Management is necessary. Changes resulting from Adaptive Management will flow through the Governance structure as described in Section 2.0 of this CCAA.

  • Asset Management Supplier will: i) maintain an asset inventory of all media and equipment where Accenture Data is stored. Access to such media and equipment will be restricted to authorized Personnel; ii) classify Accenture Data so that it is properly identified and access to it is appropriately restricted; iii) maintain an acceptable use policy with restrictions on printing Accenture Data and procedures for appropriately disposing of printed materials that contain Accenture Data when such data is no longer needed under the Agreement; iv) maintain an appropriate approval process whereby Supplier’s approval is required prior to its Personnel storing Accenture Data on portable devices, remotely accessing Accenture Data, or processing such data outside of Supplier facilities. If remote access is approved, Personnel will use multi-factor authentication, which may include the use of smart cards with certificates, One Time Password (OTP) tokens, and biometrics.

  • Pain Management Inpatient rehabilitation for Pain Management is excluded.

  • Business Partners Red Hat has entered into agreements with other organizations (“Business Partners”) to promote, market and support certain Software and Services. When Client purchases Software and Services through a Business Partner, Red Hat confirms that it is responsible for providing the Software and Services to Client under the terms of this Agreement. Red Hat is not responsible for (a) the actions of Business Partners, (b) any additional obligations Business Partners have to Client, or (c) any products or services that Business Partners supply to Client under any separate agreements between a Business Partner and Client.

  • Information Technologies Cooperation 1. The aims of cooperation in Information Technologies sectors, carried out in the mutual interest of the Parties and in compliance with their policies, will be: (a) to focus on cooperative activities towards information technology areas where mutual and complementary interests exists; and (b) to build on existing agreements and arrangements already in place between the Parties. 2. Information Technologies cooperation may include, but not be limited to: (a) scientific and technical cooperation for the Software Industry of the Parties and encouraging cooperation in software development for populations with specific needs; (b) facilitate the cooperation on academic, industrial and entrepreneurial networks in the area of Information Technology; (c) encouraging exchange of experience on management and research and development for Information Technology Parks; (d) research and development on Information Technology products and services, integrating television, multimedia, and cellular telephones; and (e) encouraging exchange of experience for research and development in networks and telecommunications.

  • Knowledge Management Collecting and processing data from multiple sources and generating information to support business requirements (e.g., information retrieval, information mapping/taxonomy, information sharing, categorization, knowledge engineering, knowledge capture/distribution/delivery, smart documents).

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