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Published: 18/02/2018I have a similarity/distance matrix: a  b  c a 0  1  2 b 1  0  3 c 2  3  0 I want to build an encoder/model that learns an ndimensional representation of each of the points in the dataset s.t ... Read moreSource: datascience.stackexchange.com


Published: 18/02/2018I have lack of understanding this issue. Could anybody explain it or give an advice to a good literature regarding it. picture source: https://arxiv.org/abs/1701.00160 Read moreSource: datascience.stackexchange.com

Published: 18/02/2018I need to generate lists of words related to specific topics for a project. I am familiar with clustering methods of topic modeling such as LDA, but I have something else in mind. Are there any method ... Read moreSource: datascience.stackexchange.com

Published: 18/02/2018From Deep Qlearning to A3C, they all fail to learn Asteroids. From the hardest Atari games according to RL most of the focus is on Montezuma's revenge, which clearly suffers from sparse rewards. Howe ... Read moreSource: datascience.stackexchange.com

Published: 18/02/2018Currently, I am working on a project. The dataset is balanced roughly in the ratio of 50:50. I created a decision tree classifier. I am achieving decent accuracy (~75%) on validation data but the prec ... Read moreSource: datascience.stackexchange.com

Published: 18/02/2018I want to build two parallel models for image semantic segmentation in Keras. input1 = Input(shape=(480,480,3)) input2 = Input(shape=(480,480,1)) c1_1 = Conv2D(filters=64, kernel_size=(3,3), activatio ... Read moreSource: datascience.stackexchange.com

Published: 18/02/2018Currently I am going through Normal Equation in Machine Learning. $$ \hat\theta = (X^T \cdot X)^{1} \cdot X^T \cdot y $$ But when I see how they use this equation, I found they always add an addition ... Read moreSource: datascience.stackexchange.com

Published: 18/02/2018Use case is like this: Suppose I have a sentence: The staffs were very kind and helpful. The room is ok for its price. There did not seem to be a heater in the room. So, a bit for our January trip. No ... Read moreSource: datascience.stackexchange.com

Published: 18/02/2018I want to get a topic from a Computer Science related word. For example, if I get Recurrent Neural Network the topic could be Neural Network. If I get word2vec the topic could be word embeddings/distr ... Read moreSource: datascience.stackexchange.com

Published: 17/02/2018I need a function for generating ratings out of five stars for users based on x/5 reviews from other users. I’d like it to incorporate these criteria: Number of people who have reviewed the user The n ... Read moreSource: datascience.stackexchange.com

Published: 17/02/2018Does anyone know where I can find ... (1) An English translation of "New Methods for Determination of Orbits of Comets" by Legendre? (See citation #5 for French name  https://en.wikipedia.org/wiki/Le ... Read moreSource: datascience.stackexchange.com

Published: 17/02/2018We know how to determine regression parameters using gradient descent. If and the cost function is C=YY(X)^2 , we update b as where is the learning rate and is the partial differential of the cost ... Read moreSource: datascience.stackexchange.com

Published: 17/02/2018I have an input data and rules that we can apply to that input data ( the expected output are float values ) . should i use reinforcementlearning with neural networks ? Read moreSource: datascience.stackexchange.com

Published: 17/02/2018I have a binary classification problem(benign/malicious) and I have applied simple neural network with one hidden layer for solving the problem. I have 46 features in my dataset and for the hidden lay ... Read moreSource: datascience.stackexchange.com

Published: 17/02/2018I was wondering what the BOP stands for in this kind of position. There are too many definitions on google and I can't seem to relate to any of them. Read moreSource: datascience.stackexchange.com

Published: 17/02/2018I am trying to reproduce this figure from Bishop: Residual vs. Alpha (lambda in figure) The code is pasted below: import numpy as np import matplotlib.pyplot as plt from sklearn import linear_model fr ... Read moreSource: datascience.stackexchange.com

Published: 17/02/2018I have a large dataset of historical data of a card game in the form: 1. playerA:card 42 > playerB:card 22 ..... playerA>card:11 => playerA wins 2. playerA:card 222 > playerB:card 501 . ... Read moreSource: datascience.stackexchange.com

Published: 17/02/2018I am a beginner on Machine Learning. In SVM, the separating hyperplane is defined as $y = w^T x + b$. Why we say vector $w$ orthogonal to the separating hyperplane? Read moreSource: datascience.stackexchange.com

Published: 17/02/2018I am building a program to implement a solution for multilabel classification. It's an interesting problem because most of the examples (~90%) actually only have one class, but some have multiple clas ... Read moreSource: datascience.stackexchange.com

Published: 16/02/2018I am trying the find the pretrained models (graph.pd and labels.txt) files for Tensorflow (for all of the Inception versions and MobileNet) After much searching I found some models in, https://storage ... Read moreSource: datascience.stackexchange.com

Published: 16/02/2018I have a time series of geopotential height, precipitation, temperature and wind speed. Using these parameters I want to find out power spectral density of western disturbance activity in Central Hima ... Read moreSource: datascience.stackexchange.com
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