Tags

• machine learning 5
• sparse matrix 2
• Amazon product data 2
• multi-label Learning 2
• classification 2
• federated learning 1
• decision tree 1
• neural networks 1
• coding style 1
• matlab 1
• 随想 1
• recommender system 1
• recommendation systems 1
• label 1
• distribution learning 1
• mathematical finance 1
• rs analysis 1
• NLP 1
• GUI 1
• array 1
• insert 1
• neural network 1
• optimizer 1
• spectral methods 1
• documents 1

machine learning

Inflected Form

less than 1 minute read

nlp

Labeling Distribution Learning

10 minute read

Label distribution learning (LDL) is a general learning framework, which assigns to an instance a distribution over a set of labels rather than a single labe...

Recommendation Systems

3 minute read

Federated Learning (FL) is an approach to apply machine learning to situations in which data cannot be centralized for a training process.

Probabilistic Matrix Factorization

less than 1 minute read

Federated Learning (FL) is an approach to apply machine learning to situations in which data cannot be centralized for a training process.

Federated Learning

3 minute read

Federated Learning (FL) is an approach to apply machine learning to situations in which data cannot be centralized for a training process.

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sparse matrix

Recommendation Systems

3 minute read

Federated Learning (FL) is an approach to apply machine learning to situations in which data cannot be centralized for a training process.

Probabilistic Matrix Factorization

less than 1 minute read

Federated Learning (FL) is an approach to apply machine learning to situations in which data cannot be centralized for a training process.

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Amazon product data

Recommendation Systems

3 minute read

Federated Learning (FL) is an approach to apply machine learning to situations in which data cannot be centralized for a training process.

Probabilistic Matrix Factorization

less than 1 minute read

Federated Learning (FL) is an approach to apply machine learning to situations in which data cannot be centralized for a training process.

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multi-label Learning

Inflected Form

less than 1 minute read

nlp

Labeling Distribution Learning

10 minute read

Label distribution learning (LDL) is a general learning framework, which assigns to an instance a distribution over a set of labels rather than a single labe...

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classification

Inflected Form

less than 1 minute read

nlp

Labeling Distribution Learning

10 minute read

Label distribution learning (LDL) is a general learning framework, which assigns to an instance a distribution over a set of labels rather than a single labe...

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federated learning

Federated Learning

3 minute read

Federated Learning (FL) is an approach to apply machine learning to situations in which data cannot be centralized for a training process.

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decision tree

Federated Learning

3 minute read

Federated Learning (FL) is an approach to apply machine learning to situations in which data cannot be centralized for a training process.

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neural networks

Federated Learning

3 minute read

Federated Learning (FL) is an approach to apply machine learning to situations in which data cannot be centralized for a training process.

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coding style

Matlab Programming Style Guidelines

12 minute read

A summary of Matlab programming style

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matlab

Matlab Programming Style Guidelines

12 minute read

A summary of Matlab programming style

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随想

好久不见

1 minute read

In case I don’t see you. Good afternoon, good evening and good night.

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recommender system

Probabilistic Matrix Factorization

less than 1 minute read

Federated Learning (FL) is an approach to apply machine learning to situations in which data cannot be centralized for a training process.

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recommendation systems

Recommendation Systems

3 minute read

Federated Learning (FL) is an approach to apply machine learning to situations in which data cannot be centralized for a training process.

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label

Labeling Distribution Learning

10 minute read

Label distribution learning (LDL) is a general learning framework, which assigns to an instance a distribution over a set of labels rather than a single labe...

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distribution learning

Labeling Distribution Learning

10 minute read

Label distribution learning (LDL) is a general learning framework, which assigns to an instance a distribution over a set of labels rather than a single labe...

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mathematical finance

Rescaled Range Analysis

less than 1 minute read

Rescaled range analysis is a statistical technique used to analyze trends in a time series. Its purpose is to provide an assessment of how the apparent varia...

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rs analysis

Rescaled Range Analysis

less than 1 minute read

Rescaled range analysis is a statistical technique used to analyze trends in a time series. Its purpose is to provide an assessment of how the apparent varia...

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NLP

Inflected Form

less than 1 minute read

nlp

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GUI

GUI

less than 1 minute read

PyQt GUI design for python.

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array

LeetCode

3 minute read

leetcode

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insert

LeetCode

3 minute read

leetcode

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neural network

Optimizer

less than 1 minute read

Study the class optimizer in pytorch and tensorflow

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optimizer

Optimizer

less than 1 minute read

Study the class optimizer in pytorch and tensorflow

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spectral methods

Navier Stokes

less than 1 minute read

documents for solving Navier Stokes equation

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documents

Navier Stokes

less than 1 minute read

documents for solving Navier Stokes equation

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