advanceddataanalytics.net 2020-10-28 09:03 If you did not already know Sogou Machine Reading Comprehension (SMRC) Machine reading comprehension have been intensively studied in recent years, and neural... advanceddataanalytics.net 2020-10-27 09:03 If you did not already know MeshGAN Generative Adversarial Networks (GANs) are currently the method of choice for generating visual data. Certain GAN architectures and... advanceddataanalytics.net 2020-10-26 01:19 If you did not already know Pyramid Attention Network (PAN) A Pyramid Attention Network(PAN) is proposed to exploit the impact of global contextual information in... advanceddataanalytics.net 2020-10-25 11:05 If you did not already know Time Series Database (TSDB) A time series database (TSDB) is a software system that is optimized for handling time series data, arrays of... advanceddataanalytics.net 2020-10-22 11:05 If you did not already know AutoPruner Channel pruning is an important family of methods to speedup deep model’s inference. Previous filter pruning algorithms regard...
advanceddataanalytics.net 2020-10-21 13:07 If you did not already know MOA MOA is the most popular open source framework for data stream mining, with a very active growing community (blog). It includes a collection of machine learning algorithms (classification, regression, clustering,...
advanceddataanalytics.net 2020-10-21 01:19 If you did not already know M-PACT Action classification is a widely known and popular task that offers an approach towards video understanding. The absence of an easy-to-use platform containing state-of-the-art (SOTA) models presents an issue for...
advanceddataanalytics.net 2020-10-20 03:21 If you did not already know Data Lake A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat...
advanceddataanalytics.net 2020-10-18 09:03 If you did not already know Transfer Feature Generating Networks With Semantic Classes Structure (TFGNSCS) Suffering from the generating feature inconsistence of seen classes training model for following the distribution of unseen classes , most...
advanceddataanalytics.net 2020-10-17 11:05 If you did not already know Ramp-Based Twin Support Vector Clustering (RampTWSVC) Traditional plane-based clustering methods measure the cost of within-cluster and between-cluster by quadratic, linear or some other unbounded functions, which may...
advanceddataanalytics.net 2020-10-16 03:21 If you did not already know Mercury-ML Mercury-ML is an open source Machine Learning workflow management library. Its core contributors are employees of Alexander Thamm GmbH … Differentiable Greedy Network (DGN) Optimal selection of a subset of...
advanceddataanalytics.net 2020-10-14 11:05 If you did not already know Unified Attention Network (UAN) We propose a new architecture that learns to attend to different Convolutional Neural Networks (CNN) layers (i.e., different levels of abstraction) and different spatial locations (i.e.,...
advanceddataanalytics.net 2020-10-14 03:21 If you did not already know Maximum Causal Tsallis Entropy (MCTE) In this paper, we propose a novel maximum causal Tsallis entropy (MCTE) framework for imitation learning which can efficiently learn a sparse multi-modal policy distribution from...
advanceddataanalytics.net 2020-10-13 01:19 If you did not already know Adaptive Neural Tree (ANT) Deep neural networks and decision trees operate on largely separate paradigms; typically, the former performs representation learning with pre-specified architectures, while the latter is...
advanceddataanalytics.net 2020-10-11 13:07 If you did not already know Convolutional Highways Convolutional highways are deep networks based on multiple stacked convolutional layers for feature preprocessing. … Decentralized High-Dimensional Bayesian Optimization (DEC-HBO) This paper...
advanceddataanalytics.net 2020-10-10 03:21 If you did not already know Grid Computing Grid computing is the use of widely distributed computer resources to reach a common goal. The grid can be thought of as a distributed system with non-interactive workloads that involve a large number of...
advanceddataanalytics.net 2020-10-09 13:07 If you did not already know Non-Homogeneous Markov Switching Autoregressive Models (MS-AR) In this paper, non-homogeneous Markov-Switching Autoregressive (MS-AR) models are proposed to describe wind time series. In these models, several au-...
advanceddataanalytics.net 2020-10-08 13:07 If you did not already know Pointer Network (Ptr-Net) We introduce a new neural architecture to learn the conditional probability of an output sequence with elements that are discrete tokens corresponding to positions in an input sequence. Such...
advanceddataanalytics.net 2020-10-07 15:17 If you did not already know Active and Adaptive Sequential Learning A framework is introduced for actively and adaptively solving a sequence of machine learning problems, which are changing in bounded manner from one time step to the next. An...
advanceddataanalytics.net 2020-10-07 13:07 If you did not already know Reptile This paper considers metalearning problems, where there is a distribution of tasks, and we would like to obtain an agent that performs well (i.e., learns quickly) when presented with a previously unseen task...
advanceddataanalytics.net 2020-10-06 07:01 If you did not already know Marimekko Chart The Marimekko name has been adopted within business and the management consultancy industry to refer to a bar chart where all the bars are of equal height, there are no spaces between the bars, and the...
advanceddataanalytics.net 2020-10-04 05:23 If you did not already know Aleph In this paper we propose Aleph, a leaderless, fully asynchronous, Byzantine fault tolerant consensus protocol for ordering messages exchanged among processes. It is based on a distributed construction of a...
advanceddataanalytics.net 2020-10-02 09:03 If you did not already know Triangle Lasso Recently, network lasso has drawn many attentions due to its remarkable performance on simultaneous clustering and optimization. However, it usually suffers from the imperfect data (noise, missing values...
advanceddataanalytics.net 2020-10-01 07:01 If you did not already know Partially Observable Stacked Thompson Sampling (POSTS) State-of-the-art approaches to partially observable planning like POMCP are based on stochastic tree search. While these approaches are computationally efficient,...
advanceddataanalytics.net 2020-09-30 05:23 If you did not already know Moving Horizon Estimation Moving horizon estimation (MHE) is an optimization approach that uses a series of measurements observed over time, containing noise (random variations) and other inaccuracies, and produces...
