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Multiple Path Strategy Experiments and Results

Market Experiments with Multiple Assets: A Survey

Market Experiments with Multiple Assets: A Survey

... a multiple asset market in the SSW environment with the aim of studying foreign exchange ...Their results show only small deviations in relative pricing in all treatments, which suggests that subjects do ...

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Multiple Hypothesis Testing in Microarray Experiments

Multiple Hypothesis Testing in Microarray Experiments

... ordered adjusted p–values were plotted for each procedure in panels (a) and (b) of Figures 11, 12, and 13. The number R of genes declared differentially expressed was recorded for different values of the nominal Type I ...

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PLS Path Modeling with Mode C Computational Experiments

PLS Path Modeling with Mode C Computational Experiments

... PLS path modeling is consistent and consistent at ...the results suggest that estimates will improve by increasing the sample size more than increas- ing the number of observable variables, depending on the ...

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Results of the DMIP 2 Oklahoma experiments

Results of the DMIP 2 Oklahoma experiments

... Semi-Lumped calibration (SL) strategy ( Ajami et al., 2004 ) used to simulate streamflow at the outlet and interior points. Distributed precipitation forcing was applied at each sub- basin. Identical SAC-SMA model ...

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Path planning of multiple autonomous vehicles

Path planning of multiple autonomous vehicles

... context, path planning for a swarm of UAVs can be considered as a part of coordinated guidance and ...1 results in generation of co- operative trajectories in layer ...

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Path Planning of Multiple Mobile Robots

Path Planning of Multiple Mobile Robots

... of Multiple Mobile Robots Fraga Ramzi PhD, Assistant Professor, ...extent multiple mobile robots can be guided to in a desired direction to explore an unknown environment and map an area of ...for ...

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Crack path in liquid metal embrittlement:  experiments with steels and modeling

Crack path in liquid metal embrittlement: experiments with steels and modeling

... fracture path in Liquid Metal Embrittlement with austenitic and martensitic ...crack path is emerging for these systems where a classical fractographic analysis fails to provide useful ...modeling ...

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Integrative analysis of data from multiple experiments

Integrative analysis of data from multiple experiments

... These results show that an unbiased selection of more input genes, rather than restriction to known markers or driver mutations, increases prognostic ...Our results support the idea that passenger mutations ...

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Analysis of facial expressions: experiments on multiple databases

Analysis of facial expressions: experiments on multiple databases

... Work Experiments showed in these databases what was unexpected; that the Neural Networks does not seem to be the best ...combining multiple descriptors give by far better ...the results were worse ...

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Experiments and Modeling of Multiple Workstations Burning in a Compartment

Experiments and Modeling of Multiple Workstations Burning in a Compartment

... small-scale experiments were conducted to provide FDS with input ...of experiments were conducted in the NIST Large Fire Laboratory. The results of the first series of tests are described in detail ...

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Lexical token alignment: experiments, results and applications

Lexical token alignment: experiments, results and applications

... To diminish the influence of the indirect associations and consequently removing the occurrence threshold, we modified the BASE algorithm so that the maximum score is not considered globally but within each of the TUs. ...

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Multiple manipulators path planning using double A∗

Multiple manipulators path planning using double A∗

... Another key step is to define a data structure to use throughout the al- gorithm. As such, a unique index was created that can identify all possible configurations. We also included in that index a property that ...

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Multiple path interferometer with a single quantum obstacle

Multiple path interferometer with a single quantum obstacle

... interference results in transmission ...to multiple inelastic scattering and the interplay of the coherent tunnel motion and the ballistic particle ...

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A Multi-Path Strategy for Hierarchical Ensemble Classification

A Multi-Path Strategy for Hierarchical Ensemble Classification

... worst results. Accord- ing to the results presented in Table 1, it can be seen that by using the k-means clustering algorithm to divide classes between nodes within the hierarchy, a best classification ...

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Robust time-optimal path tracking control of robots : theory and experiments

Robust time-optimal path tracking control of robots : theory and experiments

... assu m p tio n s. T he acceleration policy cf(s, s ) is sim ply to seek th e b o u n d a ry of Cwc and th e n to tra c k it. In § 5.2 we present our new approach. We develop equations for com puting s and s an d for m ...

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Estimation of Causal Effects in Experiments with Multiple Sources of Noncompliance

Estimation of Causal Effects in Experiments with Multiple Sources of Noncompliance

... Empirical Results Since the lotteries appear to be balanced, our research is valid and we implement our new ...The results are summarized in Table ...

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Inferring transcriptional logic from multiple dynamic experiments

Inferring transcriptional logic from multiple dynamic experiments

... Results: We propose a novel method for inferring transcriptional regulation using a simple, yet bio- logically interpretable, model to find the logic by which a set of candidate genes and their associ- ated ...

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Experiments with hierarchical reinforcement learning of multiple grasping policies

Experiments with hierarchical reinforcement learning of multiple grasping policies

... learns multiple grasp types and a policy to select from the learned grasp types for the given ...performed experiments with simulations and with a real robot to test the performance of our approach in ...

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Calibration of Predictor Models Using Multiple Validation Experiments

Calibration of Predictor Models Using Multiple Validation Experiments

... norms in (21) and (22) measure the separation between any parameter point p and the zero- prediction-error manifold by evaluating a distance in the parameter space. Conversely, (23) measures separation by evaluating a ...

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Causal discovery in multiple models from different experiments

Causal discovery in multiple models from different experiments

... 8 Conclusion We have shown the first principled algorithm that can use results from different experiments to uncover new (non)causal information. It is provably sound in the large sample limit, provided ...

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