[PDF] Top 20 diseño de mezcla y ensayo del mismo
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Towards Better Interpretability in Deep Q-Networks
... interpretable deep Q-network model (i-DQN) that can be studied using a variety of tools including the usual saliency maps, attention maps and recon- structions of key embeddings that attempt to provide ... See full document
21
Distributional Reinforcement Learning with Quantum Neural Networks
... when deep exploration is ...a deep structure, as this could lead to an exponentially larger number of ...distributional Q learning and quantum Q learning to explore a MDP ...tional Q ... See full document
8
Anti Intelligent UAV Jamming Strategy via Deep Q Networks
... The long-term cumulative reward of the UAV jammer in 300 time slots is presented in Fig. 3. Specifically, we leverage the greedy strategy and random strategy as benchmark strategies and compare them with the proposed ... See full document
22
Radiation Analysis of Phased Antenna Arrays with Differentially Feeding Networks towards Better Directivity
... the better enhancements in the controlling over side lobe level (SLL) of radiation, directivity with antenna mode scattering ...feeding networks for the excitation are ...development towards the ... See full document
56
Label Embedding with Partial Heterogeneous Contexts
... PHCLE better captures the label relat- edness owing to the label hierarchy adopted for the rela- tional ...performs better to capture label relatedness from relational ... See full document
86
A trust-aware task allocation method using deep q-learning for uncertain mobile crowdsourcing
... novel deep neural network architecture with an action advantage function is integrated in ImprovedDQL-TTA, which performs better than the DQL-TTA algorithm in mobile ... See full document
90
Opinion Mining with Deep Recurrent Neural Networks
... training deep neural net- works (Krizhevsky et ...with networks of vari- ous sizes, however we have the same number of hidden units across multiple forward and backward hidden lay- ers of a single ...step; ... See full document
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Scalable diagnostics for global atmospheric chemistry using Ristretto library (version 1.0)
... Global environmental monitoring is becoming realizable through modern sensor technologies and emerging diagnos- tic algorithms. Despite tremendous advances and innova- tions, the data collection process can quickly ... See full document
38
Towards Continuous Control for Mobile Robot Navigation: A Reinforcement Learning and SLAM Based Approach
... the Q-values obtained by the combined RL&SLAM approach should be less than the ones achieved by the standard RL ...has better re- sults on different environments, a second training environment was ... See full document
137
Interpretability indices for hierarchical fuzzy systems
... improve interpretability of fuzzy logic systems ...the interpretability of FLSs such as the Nauck index and Fuzzy ...However, interpretability indices associated with HFSs have not so far been ... See full document
9
Essays On Corporate Investment Dynamics
... can q explain higher-frequency variation in investment? Panels C and D answer this question by rerunning the previous regressions in four-quarter ...total q now explains physical and intangible investment ... See full document
6
Exploring Deep Reinforcement Learning with Multi Q Learning
... Multi Q-learning algorithms using the same environment parameters as Figure ...Multi Q-learning algorithm; the value estimates quickly converge to the true value of the state, ...in Q-learning’s ... See full document
22
Towards a better press for animals
... While a challenge to change our ideas, values and beliefs is central to the New Environmental Paradigm, in the four part scale, the focus is more on defining variations of the original classification, and the reader may ... See full document
114
Towards Better Understanding of Anaphora
... This paper presents a syntactical m e t h o d of interpreting pronouns in Polish, Using the surface structure of the sentence as well as grammatical and inflexional inlormation accessibl[r] ... See full document
111
Aggression Detection in Social Media: Using Deep Neural Networks, Data Augmentation, and Pseudo Labeling
... Motivated by existing work that applies machine learning to the task of automatic hate speech detec- tion, we investigate the effectiveness of models that rely on little or no feature engineering. The presence of noisy ... See full document
83
Greening offshore wind with the Smart Wind Chart evaluation tool
... buoy networks, satellite products, and results from two numerical weather prediction models) were assessed for the MS in or- der to be statistically analysed and ... See full document
59
Training Deep Neural Networks in Generations: A More Tolerant Teacher Educates Better Students
... Deep learning, especially the convolutional neural net- works, has been widely applied to computer vision prob- lems. Among them, image classification has been consid- ered the fundamental task which sets the ... See full document
52
Volume 2, Issue 8, August 2013 Page 276
... the interpretability or perception of information in images for human viewers, or to provide better input for other automated image processing techniques ... See full document
5
Anti Intelligent UAV Jamming Strategy via Deep Q Networks
... When considering the security issues in wireless commu- nication systems, UAVs can be exploited as different com- ponents [5]–[13]. As security components, UAVs can be used by the legitimate users. For example, since the ... See full document
5
Deep Belief Networks Using Convolution Neural Networks Algorithm
... neural networks. Convolutional neural networks have local receptive field architectures: each hidden unit can only connect to a small region of the ... See full document
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