Tag Archives: decision_tree

Improving Decision Trees Using Tsallis Entropy

‘The construction of efficient and effective decision trees remains a key topic in machine learning because of their simplicity and flexibility. A lot of heuristic algorithms have been proposed to construct near-optimal decision trees. Most of them, however, are greedy … Continue reading

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Causal Decision Trees

‘Uncovering causal relationships in data is a major objective of data analytics. Causal relationships are normally discovered with designed experiments, e.g. randomised controlled trials, which, however are expensive or infeasible to be conducted in many cases. Causal relationships can also … Continue reading

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From News-Medical.net: Promising molecular diagnostic approach to endometriosis

In “Promising molecular diagnostic approach to endometriosis” we learn about the use of decision trees using genomic data to diagnose endometriosis. The importance of this work is stated as: ‘Based on this gene expression, a simple test eventually could be … Continue reading

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From The Hardball Times: A Decision Tree Approach to Pitch Prediction

“A Decision Tree Approach to Pitch Prediction” is an article about the use of decision trees to predict pitch type using PITCHf/x data. The problem here is that the bar is set very high to produce useful results. For all pitchers, … Continue reading

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Use of an Alternating Decision Tree Algorithm to Study Viruses

From “Decoding Flu Viruses Before an Outbreak“: ‘Machine learning algorithms have been used to study DNA and protein sequences for more than 20 years, but only in the past few years have scientists applied them to viruses. Inspired by the … Continue reading

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