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Published: 18/11/2018I am reading the paper "HolisticallyNested Edge Detection " ( https://arxiv.org/abs/1504.06375 ). I will refer to it by abbreviaton Hed . I don't get what the authors have in mind, when they denote c ... Read moreSource: datascience.stackexchange.com


Published: 18/11/2018Normally stacking algorithm uses Kfold cross validation technique to predict oof validation that used for level 2 prediction. In case of timeseries data (say stock movement prediction), Kfold cross ... Read moreSource: datascience.stackexchange.com

Published: 18/11/2018Recently, Facebook released a paper concerning a general purpose neural embedding model called StarSpace. In their paper they explain the loss function and the training procedure of the model, but the ... Read moreSource: datascience.stackexchange.com

Published: 18/11/2018I am building an industry classifier. I.e. classifying companies into industries based on a company's description. Each company can only have one industry. I took 2000 companies and assigned them into ... Read moreSource: datascience.stackexchange.com

Published: 18/11/2018An application that I am building is plotting rain radar images on map. The images are transparent PNGs that are sourced straight from the local meteorological service. As can be seen in the example, ... Read moreSource: datascience.stackexchange.com

Published: 18/11/2018I am fairly new to Sklearn and machine learning and have encountered an issue when using SVR with an RBF kernel. Below is my predicted data compared directly with my real data: I do not know what I am ... Read moreSource: datascience.stackexchange.com

Published: 18/11/2018I'm fairly new to machine learning and for that matter, neural networks, but for the past couple of days I decided to take a stab at a fairly classical and practical problem of neural networks/machine ... Read moreSource: datascience.stackexchange.com

Published: 18/11/2018I'd like to train a convolutional network to solve a multiclass, multilabel problem on image data. Due to the nature of the data, and for reasons I'll spare you, it would be best if I could use a cu ... Read moreSource: datascience.stackexchange.com

Published: 18/11/2018I had made a neural network library a few months ago, and I wasn't too familiar with matrices. So, instead of performing matrix dot products (between weights and inputs, then adding a bias matrix), I ... Read moreSource: datascience.stackexchange.com

Published: 18/11/2018There's one parameter in RandomForestRegressor which is bootstrap . By default bootstrap=True bootstrap : boolean, optional (default=True) Whether bootstrap samples are used when building trees. So fr ... Read moreSource: datascience.stackexchange.com

Published: 17/11/2018I face a problem where I need to compute similarities over bilingual (English and French) texts. The "database" looks like this: ++++  FE ++++ 1XX ++++ 2 X ++++ 3X  ++++ ... Read moreSource: datascience.stackexchange.com

Published: 17/11/2018As I understood, in ReinforcementLearning a big difference between a Valuebased method and a Policygradient method is how the next action is selected. In Qlearning (Valuebased method), each possi ... Read moreSource: datascience.stackexchange.com

Published: 17/11/2018I was came across different formulas for R squared on different articles. R Squared = 1  RSS/TSS R Squared = ESS/TSS RSS Residual sum of squares. TSS  Total sum of squares. ESS  Explained sum of s ... Read moreSource: datascience.stackexchange.com

Published: 17/11/2018Could someone please explain to me in details (possibly from mathematical point of view) what is the role of Equivariance and Invariance in Convolutional Neural Networks, and how are they actually ach ... Read moreSource: datascience.stackexchange.com

Published: 17/11/2018I am trying to build a chatbot using RASA The process to build the chatbot can summarized in two step: First identify the intent and the entities in the user's question Second, based on a history of i ... Read moreSource: datascience.stackexchange.com

Published: 17/11/2018I am working on KDTree for nearest neighbor algorithm, where at each level of the tree we arbitrarily choose a dimension to cut upon and sort the points based on that chosen dimension value, after wh ... Read moreSource: datascience.stackexchange.com

Published: 17/11/2018I am currently reading notes online on types of semisupervised learning and one of the simplest techniques mentioned is "selftraining". However, one thing I do not understand is that we take a subse ... Read moreSource: datascience.stackexchange.com

Published: 17/11/2018I'm trying to calculate the entropy gain to decide the best decision split node, however I am having trouble understanding how to do this with doubles. I have columns listed out as A1 and A2 the last ... Read moreSource: datascience.stackexchange.com

Published: 17/11/2018I have a highly imbalanced dataset with less than 0.5% of the minor class. Using Keras, I'm training DNN on the training set and evaluate performance on validation set. Loss function is binary_crossen ... Read moreSource: datascience.stackexchange.com

Published: 17/11/2018I'm working on a deep learning (CNN) problem. I have structured my images into folders correctly (I think), like this: train_dir:  class 1  class 2 validation_dir:  class 1  class 2 test_dir:  cl ... Read moreSource: datascience.stackexchange.com
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