1. A comparative assessment of classification methods - UT Dallas
  2. A Comparison of Different Classification Techniques for - CiteSeerX
  3. Machine learning in bioinformatics - Oxford Journals
  4. A Statistical Learning Model of Text Classification for Support Vector ...
  5. Introduction to Machine Learning - Wisc
  6. Machine Learning Overview - CEDAR - University at Buffalo
  7. A Comparative Study of Training Algorithms for Supervised Machine ...
  8. Machine Learning: A very quick introduction
  9. From Machine Learning to Machine Reasoning - arXiv
  10. Mathematics of Machine Learning Lecture 1 Notes - MIT ...
  11. A Survey on Transfer Learning - CiteSeerX
  12. Applying Machine Learning Diversity Metrics to - Semantic Scholar
  13. Machine Learning in Automated Text Categorization - Computer ...
  14. ANTc: Approaching Realtime Network Traffic Classification
  15. Practical Evasion of a Learning-Based Classifier: A ... - UT Dallas
  16. Machine Learning with MALLET
  17. Improving imbalanced scientific text classification using ... - BieColl
  18. Self-Organising Maps in Document Classification - Semantic Scholar
  19. Gaussian Processes for Machine Learning
  20. Support Vector Machine Learning for Interdependent and Structured ...
  21. Professionalization of UMass Project “MALLET ... - CS @ UT Dallas
  22. Support Vector Machines for Classification and Regression
  23. A Machine Learning Approach to Android Malware ... - UT Dallas
  24. Automatic classification of citation function - Cambridge Computer ...
  25. A Study on Autism Spectrum Disorders using Classification ...
  26. Traffic Classification using a Statistical Approach - Cambridge ...
  27. Does Machine Learning Really Work? - Semantic Scholar
  28. evaluation of musical features for emotion classification - ISMIR 2012
  29. Big Data @ STScI - Mikulski Archive for Space Telescopes
  30. Sentiment Classification of Movie Reviews Using Contextual ...
  31. Learning from Ambiguous Examples - Brown CS - Brown University
  32. Machine Learning Approaches to Breast Cancer Diagnosis - CS229
  33. An Introduction to ROC Curve (Receiver Operating Characteristics)
  34. Support Vector Machines: Theory and Applications - NTU
  35. machine learning - icdst
  36. Training Very Deep Networks
  37. Ask Me Anything:Dynamic Memory Networks for Natural ... - arXiv
  38. active learning: theory and applications - Stanford Artificial ...
  39. The Classification Accuracy of Multiple-Metric Learning Algorithm on ...
  40. Data Clustering: 50 Years Beyond K-Means - Semantic Scholar
  41. An Introduction to Feature Extraction - ClopiNet
  42. A Survey & Current Research Challenges in Meta Learning ...
  43. Sentiment Analysis on Twitter with Stock Price and ... - NewsHedge
  44. Performance Evaluation of Kernels in Multiclass ... - Semantic Scholar
  45. Content-Based Book Recommending Using Learning for Text ...
  46. Learning Word Vectors for Sentiment Analysis - Stanford Artificial ...
  47. face detection using adaboosted svm-based component ... - arXiv
  48. Discrimination of Brazilian propolis according to ... - Semantic Scholar
  49. Human-Centric Justification of Machine Learning Predictions - IJCAI
  50. On the Feasibility of Online Malware Detection with ... - Columbia CS
  51. Graph Cut Algorithms in Vision, Graphics and Machine Learning An ...
  52. Exploring EEG-based Biometrics for User Identification and ...
  53. Smartening up with Artificial Intelligence (AI) - What's in it ... - McKinsey
  54. Comparison and Integration of Target Prediction Algorithms - BieColl
  55. Generic PDF to Text Conversion using Machine Learning
  56. Relational Learning with Statistical Predicate Invention: Better ...
  57. Artificial Intelligence in Law: The State of Play 2016 - Neota Logic
  58. Link Prediction using Supervised Learning - Computer Science
  59. Machine Learning for Brain Image Segmentation Abstract Keywords ...
  60. Short Circuit Fault Classification and Location in ... - Semantic Scholar
  61. can an algorithm be disturbed? machine learning, intrinsic criticism
  62. An assessment of machine and statistical learning approaches to ...
  63. Least Squares Support Vector Machine Classifiers - CiteSeerX
  64. Spurs and Bits: Predicting football results using ... - EECS/QMUL
  65. Ranking Relevance in Yahoo Search
  66. GPstruct: Bayesian Structured Prediction using Gaussian Processes
  67. Learning Latent Temporal Structure for Complex Event Detection
  68. Differentiating Code from Data in x86 Binaries - UT Dallas
  69. Diagnosis of Neuromuscular Disorders Using Softcomputing ...
  70. Notes and references on early automatic classification work
  71. Classification of Breast Cancer Subtypes by combining ... - BieColl
  72. Deep Learning Networks for Off-Line Handwritten Signature - icdst
  73. Chapter 2 Background
  74. A New Approach For Selecting Informative Features For Text ...
  75. Weakly Supervised Learning of Mid-Level Features with Beta ...
  76. EVALUATING THE EFFECTIVENESS OF FEATURES AND ...
  77. WEKA Manual for Version 3-7-8
  78. Offline Handwriting Recognition with Multidimensional ... - Idsia
  79. Semantic Document Classification using Lexical ... - Semantic Scholar
  80. Malware Analysis using machine learning - Semantic Scholar
  81. Supervised Sequence Labelling with Recurrent ... - Semantic Scholar
  82. A Survey and Current Research Challenges in Multi-Label ...
  83. MOTION STREAM SEGMENTATION AND ... - Semantic Scholar
  84. Detecting Phishing Websites Using Associative Classification
  85. A Clockwork RNN - arXiv
  86. Survey of Multi Relational Classification (MRC) - Semantic Scholar
  87. Exploring the Impact of Artificial Intelligence: Prediction versus ...
  88. Text Mining with Information Extraction - UT Computer Science
  89. Accessorize to a Crime: Real and Stealthy Attacks on State-of-the ...
  90. On the Consistency of Multiclass Classification ... - Ambuj Tewari
  91. Towards a Classification Approach using Meta-Biclustering - Core
  92. Rational Kernels: Theory and Algorithms - NYU Computer Science
  93. Indexing and Preprocessing - Semantic Scholar
  94. On the Dimensionality of Face Space
  95. A Comparison of String Distance Metrics for Name-Matching Tasks
  96. experiments on automatic drug activity ... - Semantic Scholar
  97. Robust Panoramic Image Stitching - Computational Vision and ...
  98. Supervised k-Means Clustering - Cornell Computer Science
  99. Organizing Information in the Blogosphere - Semantic Scholar
  100. SemEval-2016 Task 4: Sentiment Analysis in Twitter - QCRI

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