نتایج جستجو برای: positive prediction value
تعداد نتایج: 1541930 فیلتر نتایج به سال:
This paper introduces dependence-based value prediction: prediction based on information that can be propagated through dependences. We propose an organization for a dependence-based value predictor and investigate how to use different types of dependence information to predict values produced by instructions. We consider first register dependences and then memory dependences. Memory dependence...
This workshop paper explores some ideas for value prediction and data speculation in hardware transactional memory. We present these ideas in the context of false sharing, at the cache line level, within hardware transactions. We distinguish between coherence conflicts, which may result from false sharing, from true data conflicts, which we call transactional conflicts. We build on some of the ...
BACKGROUND Postoperative residual curarization (PORC) after surgery is common and its detection has a high error rate. Artificial neural networks are being used increasingly to examine complex data. We hypothesized that a neural network would enhance prediction of PORC. METHODS In 40 previously reported patients, neuromuscular function, neuromuscular block/antagonist usage and time intervals ...
We introduce the prediction value (PV) as a measure of players’ informational importance in probabilistic TU games. The latter combine a standard TU game and a probability distribution over the set of coalitions. Player i’s prediction value equals the difference between the conditional expectations of v(S) when i cooperates or not. We characterize the prediction value as a special member of the...
Value prediction was proposed in the mid 90’s to enhance the performance of highend microprocessors. Unfortunately, to the best of our knowledge, there are no Value Prediction implementations available on the market. Moreover, the research on Value Prediction techniques almost vanished in the early 2000’s as it was more effective to increase the number of cores than to dedicate silicon to Value...
This paper proposes a novel deep reinforcement learning (RL) architecture, called Value Prediction Network (VPN), which integrates model-free and model-based RL methods into a single neural network. In contrast to typical model-based RL methods, VPN learns a dynamics model whose abstract states are trained to make option-conditional predictions of future values (discounted sum of rewards) rathe...
This paper presents a new technique for value prediction. It uses perceptrons, one of the simplest neural networks, for prediction of instruction output values. Perceptrons have been shown to be highly effective for conditional branch prediction. Current value predictors use two-bit saturating counters for value prediction and involve an exponential increase in hardware resources. This limits t...
Abstract Background: Clinical Risk Index of Babies (CRIB), Score for Neonatal Acute Physiology (SNAP), an update of the Clinical Risk Index for Babies score (CRIB II) and Score for Neonatal Acute Physiology - Perinatal Extension (SNAP-PE) are scoring devices developed in neonatal intensive care units. This study reviewed these scoring systems in critically ill neonates to determine how well th...
Knowledge of genes action on important traits and their breeding value is necessary to achieve high yielding cultivars in food crops. Molecular markers has eliminated the need for knowing the pedigree of genotypes for estimating Kiniship matrix required to estimate breeding values of taits of interest. In this research, 97 genotypes of maize were evaluated for 17 different agronomic triats usin...
Background: Early diagnosis of gestational diabetes is one of the most important applications of taking care of during pregnancy. The current study was done to find the correlation between hemotocrit in the first trimester of pregnancy with gestational diabetes in women who referred to Milad Hospital in Tehran in 2009-2010. Materials and Methods: A prospective cohort study was conducted on 700 ...
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