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  2. Probably approximately correct learning - Wikipedia

    en.wikipedia.org/wiki/Probably_approximately...

    In computational learning theory, probably approximately correct (PAC) learning is a framework for mathematical analysis of machine learning. It was proposed in 1984 by Leslie Valiant . [ 1 ]

  3. MLR Institute of Technology - Wikipedia

    en.wikipedia.org/wiki/MLR_Institute_of_technology

    The institute follows JNTUH strict attendance regulation, which requires students to put in a minimum class attendance of 75% to progress to the next semester. External (university) exams are held every semester in the campus and consolidated results in all these exams count towards the final aggregate grading.

  4. Multilayer perceptron - Wikipedia

    en.wikipedia.org/wiki/Multilayer_perceptron

    In deep learning, a multilayer perceptron (MLP) is a name for a modern feedforward neural network consisting of fully connected neurons with nonlinear activation functions, organized in layers, notable for being able to distinguish data that is not linearly separable.

  5. Computational learning theory - Wikipedia

    en.wikipedia.org/wiki/Computational_learning_theory

    Inductive inference as developed by Ray Solomonoff; [5] [6] Algorithmic learning theory, from the work of E. Mark Gold; [7] Online machine learning, from the work of Nick Littlestone [citation needed]. While its primary goal is to understand learning abstractly, computational learning theory has led to the development of practical algorithms.

  6. Active learning (machine learning) - Wikipedia

    en.wikipedia.org/wiki/Active_learning_(machine...

    Active learning is a special case of machine learning in which a learning algorithm can interactively query a human user (or some other information source), to label new data points with the desired outputs. The human user must possess knowledge/expertise in the problem domain, including the ability to consult/research authoritative sources ...

  7. Timeline of machine learning - Wikipedia

    en.wikipedia.org/wiki/Timeline_of_machine_learning

    Support-Vector Clustering [5] and other kernel methods [6] and unsupervised machine learning methods become widespread. [7] 2010s: Deep learning becomes feasible, which leads to machine learning becoming integral to many widely used software services and applications. Deep learning spurs huge advances in vision and text processing.

  8. Inductive bias - Wikipedia

    en.wikipedia.org/wiki/Inductive_bias

    The inductive bias (also known as learning bias) of a learning algorithm is the set of assumptions that the learner uses to predict outputs of given inputs that it has not encountered. [1] Inductive bias is anything which makes the algorithm learn one pattern instead of another pattern (e.g., step-functions in decision trees instead of ...

  9. Mahatma Gandhi Institute of Technology - Wikipedia

    en.wikipedia.org/wiki/Mahatma_Gandhi_Institute...

    The institute is affiliated with Jawaharlal Nehru Technological University, Hyderabad (JNTUH), The institute has Autonomous Status till 2021-2031 A.Y. granted by UGC and offers a four-year Bachelor of Technology, in eleven disciplines and two-year Master of Technology, in six disciplines prescribed by JNTU. The college is accredited by the ...