Machine Learning

Related Fields


Parent Topic:

Computer Science

Child Topic:

Instance-based learning, Data stream mining, Feature selection, Heuristic, Gene expression programming, Swarm intelligence, Connectionism, Fuzzy control system, Recommender system, Unsupervised learning, Linear discriminant analysis, Intelligent word recognition, Feature learning, Probabilistic classification, Conceptual clustering, Convolutional neural network, Evolutionary computation, Intelligent character recognition, Semi-supervised learning, Computer-automated design, Algorithmic learning theory, Biological neural network, Computational intelligence, Computational learning theory, Anomaly detection, Learning to rank, Hidden Markov model, Artificial neural network, Computational neuroscience, Reinforcement learning, Deep learning, Soft computing, Automated planning and scheduling, Statistical relational learning, Ensemble learning, Statistical classification, Temporal difference learning, Granular computing, Handwriting recognition, Learning classifier system, Clinical decision support system, Intelligent control, Evolutionary algorithm, Supervised learning, Concept learning, Proactive learning, Deep belief network, Knowledge integration, Inductive programming

Top Authors


Paper Recommendation
1989 Genetic Algorithms in Search, Optimization and Machine Learning

1992 Adaptation in Natural and Artificial Systems

2000 The Nature of Statistical Learning Theory

1997 Self-organizing Maps

1998 Statistical Learning Theory

1987 Digital Image Processing

1995 Neural Networks For Pattern Recognition

1993 C4.5: Programs For Machine Learning

1990 A Tutorial on Hidden Markov Models and Selected Applications in Speech Recognition

1986 Adaptive Filter Theory

1978 Digital Image Processing

1988 An introduction To Computing With Neural Nets

1991 Vector Quantization and Signal Compression

1985 Adaptive Signal Processing

2001 Digital Image Processing

1988 Algorithms For Clustering Data

2001 THE SEMANTIC WEB.

1991 Introduction To The Theory of Neural Computation

1990 Introduction To Statistical Pattern Recognition (2nd Ed.)

2001 The Elements of Statistical Learning