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Machine learning
Known as:
Adaptive machine learning
, Statistical learning
, Learning algorithms
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Machine learning is the subfield of computer science that "gives computers the ability to learn without being explicitly programmed" (Arthur Samuel…
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50 relations
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AI takeover
Anticipation (artificial intelligence)
Basis function
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Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2011
Highly Cited
2011
Scikit-learn: Machine Learning in Python
Fabian Pedregosa
,
G. Varoquaux
,
+14 authors
E. Duchesnay
Journal of machine learning research
2011
Corpus ID: 10659969
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale…
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Highly Cited
2006
Highly Cited
2006
Pattern Recognition and Machine Learning
Radford M. Neal
Technometrics
2006
Corpus ID: 31993898
Probability Distributions.- Linear Models for Regression.- Linear Models for Classification.- Neural Networks.- Kernel Methods…
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Highly Cited
2003
Highly Cited
2003
Correlation-based Feature Selection for Machine Learning
M. Hall
2003
Corpus ID: 8312711
A central problem in machine learning is identifying a representative set of features from which to construct a classification…
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Review
2002
Review
2002
Thumbs up? Sentiment Classification using Machine Learning Techniques
B. Pang
,
Lillian Lee
,
Shivakumar Vaithyanathan
Conference on Empirical Methods in Natural…
2002
Corpus ID: 7105713
We consider the problem of classifying documents not by topic, but by overall sentiment, e.g., determining whether a review is…
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Highly Cited
2002
Highly Cited
2002
Support Vector Machine Active Learning with Applications to Text Classification
Simon Tong
,
D. Koller
Journal of machine learning research
2002
Corpus ID: 7806109
Support vector machines have met with significant success in numerous real-world learning tasks. However, like most machine…
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Review
2001
Review
2001
Machine learning in automated text categorization
F. Sebastiani
CSUR
2001
Corpus ID: 3091
The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last…
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Highly Cited
1994
Highly Cited
1994
Programs for Machine Learning
S. Salzberg
,
Alberto Maria Segre
1994
Corpus ID: 60499165
Algorithms for constructing decision trees are among the most well known and widely used of all machine learning methods. Among…
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Highly Cited
1992
Highly Cited
1992
C4.5: Programs for Machine Learning
J. R. Quinlan
1992
Corpus ID: 5262555
From the Publisher: Classifier systems play a major role in machine learning and knowledge-based systems, and Ross Quinlan's…
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Review
1988
Review
1988
Genetic Algorithms in Search Optimization and Machine Learning
D. Goldberg
1988
Corpus ID: 38613589
From the Publisher: This book brings together - in an informal and tutorial fashion - the computer techniques, mathematical…
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Highly Cited
1988
Highly Cited
1988
Genetic algorithms and Machine Learning
D. Goldberg
,
J. Holland
Machine-mediated learning
1988
Corpus ID: 2043246
There is no a priori reason why machine learning must borrow from nature. A field could exist, complete with well-defined…
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