Self-adaption grey DBSCAN clustering. (arXiv:1912.11477v1 [cs.LG]) http://arxiv.org/abs/1912.11477
CProp: Adaptive Learning Rate Scaling from Past Gradient Conformity. (arXiv:1912.11493v1 [cs.LG]) http://arxiv.org/abs/1912.11493
An Analysis of the Expressiveness of Deep Neural Network Architectures Based on Their Lipschitz Constants. (arXiv:1912.11511v1 [cs.LG]) http://arxiv.org/abs/1912.11511
Spatio-Temporal Random Partition Models. (arXiv:1912.11542v1 [stat.ME]) http://arxiv.org/abs/1912.11542
Learning Transferable Features for Speech Emotion Recognition. (arXiv:1912.11547v1 [eess.AS]) http://arxiv.org/abs/1912.11547
A Drug Recommendation System (Dr.S) for cancer cell lines. (arXiv:1912.11548v1 [stat.ML]) http://arxiv.org/abs/1912.11548
Composable Effects for Flexible and Accelerated Probabilistic Programming in NumPyro. (arXiv:1912.11554v1 [stat.ML]) http://arxiv.org/abs/1912.11554
SketchTransfer: A Challenging New Task for Exploring Detail-Invariance and the Abstractions Learned by Deep Networks. (arXiv:1912.11570v1 [cs.CV]) http://arxiv.org/abs/1912.11570
A Study of the Learnability of Relational Properties (Model Counting Meets Machine Learning). (arXiv:1912.11580v1 [cs.LG]) http://arxiv.org/abs/1912.11580
end-to-end training of a large vocabulary end-to-end speech recognition system. (arXiv:1912.11040v1 [eess.AS]) http://arxiv.org/abs/1912.11040
power-law nonlinearity with maximally uniform distribution criterion for improved neural network training in automatic speech recognition. (arXiv:1912.11041v1 [eess.AS]) http://arxiv.org/abs/1912.11041
Risk of estimators for Sobol sensitivity indices based on metamodels. (arXiv:1912.11070v1 [math.ST]) http://arxiv.org/abs/1912.11070
Algorithms for Heavy-Tailed Statistics: Regression, Covariance Estimation, and Beyond. (arXiv:1912.11071v1 [math.ST]) http://arxiv.org/abs/1912.11071
Discrete and Continuous Action Representation for Practical RL in Video Games. (arXiv:1912.11077v1 [cs.LG]) http://arxiv.org/abs/1912.11077
Scalable Fine-grained Generated Image Classification Based on Deep Metric Learning. (arXiv:1912.11082v1 [cs.CV]) http://arxiv.org/abs/1912.11082
Kernel Embedding Linear Response. (arXiv:1912.11110v1 [math.ST]) http://arxiv.org/abs/1912.11110
EnsemFDet: An Ensemble Approach to Fraud Detection based on Bipartite Graph. (arXiv:1912.11113v1 [cs.LG]) http://arxiv.org/abs/1912.11113
MM for Penalized Estimation. (arXiv:1912.11119v1 [stat.CO]) http://arxiv.org/abs/1912.11119
Data-driven Discovery of Emergent Behaviors in Collective Dynamics. (arXiv:1912.11123v1 [cs.LG]) http://arxiv.org/abs/1912.11123
Learned Feature Attribution Priors. (arXiv:1912.10065v1 [cs.LG]) http://arxiv.org/abs/1912.10065
I post the feed of the arXiv Statistics.
#Statistics #Stats #Mathematics #Math #Maths #Science #arXiv #News #PeerReview