Introduction to Machine Learning (Adaptive Computation and Machine Learning)

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Twitter as a Corpus for Sentiment Analysis and Opinion Mining (2010, methodology): “We also tried SVM (Alpaydin, 2004) and CRF (Lafferty et al., 2001), however the Naı̈ve Bayes classifier yielded the best results.”
Quantum algorithms for supervised and unsupervised machine learning (2013, background): “In machine learning, information processors perform tasks of sorting, assembling, as-similating, and classifying information [1-2].”
Learning the rules of a game: Neural conditioning in human-robot interaction with delayed rewards (2013, background): “The problem of associating current rewards with previous actions was named distal reward problem [9], or temporal credit assignment [10] and it is ubiquitous in humans [11] and machine learning [12], [13].”
Improving bug triage with bug tossing graphs (2009, methodology): “There is a tradeoff between the reduction rates and search failure rates, similar to the tradeoff between recall and precision [2].”
Quantum support vector machine for big feature and big data classification (2013, background): “[2] E.”