Experts-Choice Decal Film is available in both clear and white one and three sheet packs. With Experts-Choice plain decal film you can use your own color ink jet or laser printer to make home made decals. You can also use a color photo copier to reproduce any decal of your choice. This material allows you to use existing artwork from books, magazines, computer clip art, or your own original art to create any decal. The standard 8 1/2 X 11 sheets work perfectly with any copier or printer.

Instead of choosing the top-k experts for each token, you choose the top-k tokens per expert. Seems to work even better. I actually started coding this independently last month (scooped!), and the subtleties are: 1) it makes your routing function super cheap, which is great, but 2) you end up summing different numbers of activation tensors for each token, which is hard to make efficient. You can embedding_bag this, but even constructing the indices is a pain.


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Founded by three hearing experts, Abram Bailey AuD, Steve Taddei AuD, and Andrew Sabin, PhD, HearAdvisor is on a mission to help consumers make better-informed decisions while navigating a confusing, sometimes deceptive marketplace.

Our vast experience makes us the perfect, for the large undertakings in which our clients embark, and our long history allows us to provide excellent support.

The success stories with our large brand clients that have trusted us, allows us to offer our expert services in the areas of Finance, Credit, Risk, Technology and Strategic Management.

Our software solution division gives us the strenght to cover, several business needs: from diagnosis to implementation.

We are the Expert Choice US LLC for Latin America

"I consider him to be a great expert on credit modelling and risk solution development. He is one of my great mentors in my professional career. So I just want to leave you with my message of success and good fortune for the project you are launching in the United States. Best regards."

"Having had Expert Choice S.A. as a supplier on different occasions has been a very good experience for me, both from the point of view of the willingness of the entire team and the technical knowledge they have demonstrated in all matters relating to Credit Risk. For me, they are a company that I can totally recommend, as they meet the expectations that one has when relying on external experts in technical matters".

"Expert Choice has provided us with an excellent service since it became a supplier. What stands out is the service philosophy that permeates each of their actions, their ability to structure responses to specific demands, in short, the Expert-Choice executives put themselves in our shoes and recognise our needs.We have chosen Expert-choice's services because they bring added value to our decision making, in our case, associated with the granting of massive loans, and we plan to continue developing other projects of great interest for an increasingly competitive industry.

Dr. Max Riemann is a highly respected implantologist based in Nuremberg, Germany. He has over a decade of experience in dental implantology and has transformed the lives of numerous patients with his expertise and knowledge.

Sparsely-activated Mixture-of-experts (MoE) models allow the number of parameters to greatly increase while keeping the amount of computation for a given token or a given sample unchanged. However, a poor expert routing strategy (e.g. one resulting in load imbalance) can cause certain experts to be under-trained, leading to an expert being under or over-specialized. Prior work allocates a fixed number of experts to each token using a top-k function regardless of the relative importance of different tokens. To address this, we propose a heterogeneous mixture-of-experts employing an expert choice method. Instead of letting tokens select the top-k experts, we have experts selecting the top-k tokens. As a result, each token can be routed to a variable number of experts and each expert can have a fixed bucket size. We systematically study pre-training speedups using the same computational resources of the Switch Transformer top-1 and GShard top-2 gating of prior work and find that our method improves training convergence time by more than 2x. For the same computational cost, our method demonstrates higher performance in fine-tuning 11 selected tasks in the GLUE and SuperGLUE benchmarks. For a smaller activation cost, our method outperforms the T5 dense model in 7 out of the 11 tasks.

Founded by three hearing experts, Abram Bailey AuD, Steve Taddei AuD, and Andrew Sabin PhD, HearAdvisor is on a mission to help consumers make better-informed decisions while navigating a confusing, sometimes deceptive marketplace. The recent introduction of OTC hearing aids in the US has given consumers more options than ever, creating a flood of new hearing aids of varying quality (even in FDA-compliant devices) being offered by top national retailers.

Increasingly rapid and often radical changes in both ship design as well as ship production process technology require more frequent selection from among many alternative technologies and operational strategies under conditions of uncertainty. A stochastic time variant hierarchical decision process, or expert choice method, is proposed for use under such conditions. Such an approach is particularly relevant to ship production because here technical decisions usually involve large investments, changes in production or operations, and often imply or affect strategic change. Expert choice, or the analytic hierarchical process (AHP), offers an approach which allows consideration of all the factors, as well as the risk attitudes of the decision-makers and others involved. The basic AHP method was modified to permit consideration of the probabilities associated with hierarchical relationships of factors and decision-makers. AHP is further suggested to include the effect of time on the determination of the risk, and time dependence of the outcome of alternative decisions. Thereby AHP permits determination of not only the most effective choices, but also timing of complex decisions met so frequently in ship production project management.

This year I have chosen 2 systematic reviews, not because there were no eligible empirical papers but because, collectively, the reviews address what are currently the 2 most popular areas of research in pediatric aerobic fitness and training. The reviews outline what we know, identify serious gaps in our knowledge, and indicate promising avenues of future research. The order of presentation does not reflect preference or priority. My first choice (107) reflects current research programs and focuses on pediatric aerobic (or cardiorespiratory) fitness in relation to current and future health. My second choice (64) focuses on exercise training and is a very welcome systematic review and meta-analysis of the effects of concurrent endurance and strength training on cardiorespiratory fitness (CRF).

With a wealth of 4x4, caravan, camping, travel and towing experts out there the only way to test our products and understand the needs of our customers was to collaborate with those who truly live and breathe the lifestyle.

Each industry expert we align with carries with them their own unique experience, skillset and passion. And REDARC is proud of these long standing and valued relationships as we work together to help power the dreams of Australian audiences, helping guide and inspire them to get out on the road and create memories that will last a lifetime.

Learn more below about our industry experts, read their travel and tech tips and watch exclusive REDARC videos showcasing some incredible locations around Australia and how our products have helped our experts conquer this great southern land.

Sparsely-activated Mixture-of-experts (MoE) models allow the number ofparameters to greatly increase while keeping the amount of computation for agiven token or a given sample unchanged. However, a poor expert routingstrategy (e.g. one resulting...

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Objective:  Optimal choice of antiseizure medication (ASM) depends on seizure type, syndrome, age, gender, comorbidities and co-medications. There are no fixed rules on how to weigh these factors; choices are subjective and experience-driven. We investigated agreement among experts in selecting ASM as monotherapy and used their prevailing choices to validate a web-based decision-support application.

Methods:  Twenty-four international experts, blinded to the app, selected the optimal ASM for 25 individual patient-cases covering a wide variation of seizure types and other factors influencing ASM selection. The app ranked ASMs in order of likely appropriateness for each case. In a second step, experts rated anonymously the choices of the app.

Results:  Of the 25 patient-cases (age 13-74 years), 13 were female, 18 (72%) had comorbidities, six (24%) were on contraceptives, and 13 (52%) had other co-medications. The median number of experts who selected the same ASM for a given case was 15 (62.5%) and interquartile range (IQR) 13-18 (54%-75%). Gwet's agreement coefficient among experts was 0.38 (95% confidence interval [CI] 0.32-0.44), corresponding to a "fair" agreement. Agreement between the app and the prevailing expert choice for each case was 0.48 (95% CI 0.29-0.67), corresponding to a "moderate" beyond chance agreement. The percent agreement between the highest ranked selections of the app and the expert selections was 73% (95% CI 64%-82%). Ninety-five percent of the experts considered that no incorrect or potentially harmful ASMs were ranked highest by the app, and most experts strongly agreed with the app's selections. be457b7860

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