advanceddataanalytics.net 2021-03-02 03:21 If you did not already know Graph Dynamical Network Understanding the dynamical processes that govern the performance of functional materials is essential for the... advanceddataanalytics.net 2021-02-28 09:03 If you did not already know Decentralized Simultaneous Perturbation Stochastic Approximations, with Constant Sensitivity Parameters (DSPG) In this paper, we present an... advanceddataanalytics.net 2021-02-27 11:05 If you did not already know Conditional t-SNE (ct-SNE) Dimensionality reduction and manifold learning methods such as t-Distributed Stochastic Neighbor Embedding... advanceddataanalytics.net 2021-02-26 03:21 If you did not already know funHDDC General procedure for clustering functional data which adapts the efficient clustering method HDDC, originally proposed in the... advanceddataanalytics.net 2021-02-24 13:07 If you did not already know L1-Norm Kernel PCA We present the first model and algorithm for L1-norm kernel PCA. While L2-norm kernel PCA has been widely studied, there...

advanceddataanalytics.net 2021-02-24 11:05 If you did not already know L2-Nonexpansive Neural Network This paper proposes a class of well-conditioned neural networks in which a unit amount of change in the inputs causes at most a unit amount of change in the outputs or any of the internal...

advanceddataanalytics.net 2021-02-23 05:23 If you did not already know ART Transfer learning aims to solve the data sparsity for a target domain by applying information of the source domain. Given a sequence (e.g. a natural language sentence), the transfer learning, usually enabled by...

advanceddataanalytics.net 2021-02-21 11:05 If you did not already know Ridge Regularized Linear Models (RRLM) Ridge regularized linear models (RRLMs), such as ridge regression and the SVM, are a popular group of methods that are used in conjunction with coefficient hypothesis testing to...

advanceddataanalytics.net 2021-02-20 11:05 If you did not already know Hyperbolic Bayesian Personalized Ranking (HyperBPR) Many well-established recommender systems are based on representation learning in Euclidean space. In these models, matching functions such as the Euclidean distance...

advanceddataanalytics.net 2021-02-19 13:07 If you did not already know Beta Regression How should we one perform a regression analysis in which the dependent variable is restricted to the standard unit interval such as rates and proportions? Ferrari and Cribari-Neto, 2004 proposed a...

advanceddataanalytics.net 2021-02-18 05:23 If you did not already know Layered Tree-Based Pipeline Optimization Tool (Layered TPOT) With the demand for machine learning increasing, so does the demand for tools which make it easier to use. Automated machine learning (AutoML) tools have been...

advanceddataanalytics.net 2021-02-17 03:21 If you did not already know Zeno++ We propose Zeno++, a new robust asynchronous synchronous Stochastic Gradient Descent~(SGD) under a general Byzantine failure model with unbounded number of Byzantine workers. … TensorFlow Ranking (TF-Ranking)...

advanceddataanalytics.net 2021-02-16 09:03 If you did not already know QuickSel Estimating the selectivity of a query is a key step in almost any cost-based query optimizer. Most of today’s databases rely on histograms or samples that are periodically refreshed by re-scanning the data as...

advanceddataanalytics.net 2021-02-15 07:01 If you did not already know AutoSpearman The interpretation of defect models heavily relies on software metrics that are used to construct them. However, such software metrics are often correlated to defect models. Prior work often uses feature...

advanceddataanalytics.net 2021-02-14 05:23 If you did not already know People + AI Research (PAIR) The past few years have seen rapid advances in machine learning, with new technologies achieving dramatic improvements in technical performance. But we can go beyond optimizing objective...

advanceddataanalytics.net 2021-02-12 13:07 If you did not already know LAHA Extreme multi-label text classification (XMTC) aims at tagging a document with most relevant labels from an extremely large-scale label set. It is a challenging problem especially for the tail labels because there...

advanceddataanalytics.net 2021-02-12 03:21 If you did not already know Bach2Bach A model of music needs to have the ability to recall past details and have a clear, coherent understanding of musical structure. Detailed in the paper is a deep reinforcement learning architecture that...

advanceddataanalytics.net 2021-02-10 13:07 If you did not already know Control Toolbox (CT) We introduce the Control Toolbox (CT), an open-source C++ library for efficient modelling, control, estimation, trajectory optimization and model predictive control. The CT is applicable to a broad...

advanceddataanalytics.net 2021-02-09 11:05 If you did not already know Staleness Most distributed machine learning (ML) systems store a copy of the model parameters locally on each machine to minimize network communication. In practice, in order to reduce synchronization waiting time,...

advanceddataanalytics.net 2021-02-08 05:23 If you did not already know SocialGCN Collaborative Filtering (CF) is one of the most successful approaches for recommender systems. With the emergence of online social networks, social recommendation has become a popular research direction. Most...

advanceddataanalytics.net 2021-02-06 11:05 If you did not already know Author Rank Author Rank is a new aspect of Google’s search algorithm that will score online content creators. Similar to SEO rankings for sites and pages, authors will now have an associated ranking based on a few...

advanceddataanalytics.net 2021-02-06 03:21 If you did not already know Accuracy Booster Convolution Neural Networks (CNN) have been extremely successful in solving intensive computer vision tasks. The convolutional filters used in CNNs have played a major role in this success, by...

advanceddataanalytics.net 2021-02-05 03:21 If you did not already know Learning to Auto Weight (LAW) Example weighting algorithm is an effective solution to the training bias problem. However, typical methods are usually limited to human knowledge and require laborious tuning of...

advanceddataanalytics.net 2021-02-04 01:19 If you did not already know iFair People are rated and ranked, towards algorithmic decision making in an increasing number of applications, typically based on machine learning. Research on how to incorporate fairness into such tasks has...

advanceddataanalytics.net 2021-02-02 03:21 If you did not already know Generative Actor Critic (GAC) We identify a fundamental problem in policy gradient-based methods in continuous control. As policy gradient methods require the agent’s underlying probability distribution, they limit...