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Found 6 papers, 2 papers with code
Interactive Learning Approach for Arabic Target-Based Sentiment Analysis
In this paper, we propose an interactive learning approach to tackle a target-based sentiment analysis task for the Arabic language.
Feature Selection Tutorial with Python Examples
In Machine Learning, feature selection entails selecting a subset of the available features in a dataset to use for model development.
Wider Vision: Enriching Convolutional Neural Networks via Alignment to External Knowledge Bases
We further demonstrate that by using hierarchical relationships from our external knowledge base, we can locate new unseen classes outside the CNN training set in our embeddings space, based on visual feature activations.
Underestimation Bias and Underfitting in Machine Learning
Often, what is termed algorithmic bias in machine learning will be due to historic bias in the training data.
k-Nearest Neighbour Classifiers: 2nd Edition (with Python examples)
This paper presents an overview of techniques for Nearest Neighbour classification focusing on; mechanisms for assessing similarity (distance), computational issues in identifying nearest neighbours and mechanisms for reducing the dimension of the data.
Drift detection using uncertainty distribution divergence
Data generated from naturally occurring processes tends to be non-stationary.
