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52. To select or to weigh: a comparative study of linear combination schemes for superparent-one-dependence estimators

55. Learning with Different Classification Costs

56. Language Bias

57. Learning Word Senses

58. Learning Vector Quantization

59. Learning Curves in Machine Learning

60. Linear Regression

61. Learning Control

62. Lessons-Learned Systems

63. Logical Regression Tree

64. Link Analysis

65. Linear Separability

66. Learning with Hidden Context

67. Local Feature Selection

68. Learning in Logic

69. LOO Error

70. L1-Distance

71. Learning Control Rules

72. Life-Long Learning

73. LWPR

74. Long-Term Potentiation of Synapses

75. Lazy Learning

76. Latent Factor Models and Matrix Factorizations

77. Locally Weighted Regression for Control

78. Logic Program

79. Learning Classifier Systems

80. Learning By Demonstration

81. Learning in Worlds with Objects

82. Learning from Structured Data

83. Locally Weighted Learning

84. Learning Graphical Models

85. Leave-One-Out Cross-Validation

86. Learning from Complex Data

87. Least-Squares Reinforcement Learning Methods

88. Logit Model

89. Liquid State Machine

90. Learning By Imitation

91. Link-Based Classification

92. Loss Function

93. Learning from Nonpropositional Data

94. Locality Sensitive Hashing Based Clustering

95. Learning Models of Biological Sequences

96. Log-Linear Models

97. Learning from Preferences

98. Learning as Search

99. Logic of Generality

100. Link Mining and Link Discovery

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