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2. Navy Marine Corps Intranet - Wikipedia

   en.wikipedia.org/wiki/Navy_Marine_Corps_Intranet

   Navy Marine Corps Intranet. The Navy/Marine Corps Intranet ( NMCI) is a United States Department of the Navy program which was designed to provide the vast majority of information technology services for the entire Department, including the United States Navy and Marine Corps .

3. Quantum machine learning - Wikipedia

   en.wikipedia.org/wiki/Quantum_machine_learning

   Quantum machine learning is the integration of quantum algorithms within machine learning programs.. The most common use of the term refers to machine learning algorithms for the analysis of classical data executed on a quantum computer, i.e. quantum-enhanced machine learning.

4. Active learning (machine learning) - Wikipedia

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

   e. 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 ...

5. Extreme learning machine - Wikipedia

   en.wikipedia.org/wiki/Extreme_learning_machine

   e. Extreme learning machines are feedforward neural networks for classification, regression, clustering, sparse approximation, compression and feature learning with a single layer or multiple layers of hidden nodes, where the parameters of hidden nodes (not just the weights connecting inputs to hidden nodes) need to be tuned.

6. Online machine learning - Wikipedia

   en.wikipedia.org/wiki/Online_machine_learning

   e. In computer science, online machine learning is a method of machine learning in which data becomes available in a sequential order and is used to update the best predictor for future data at each step, as opposed to batch learning techniques which generate the best predictor by learning on the entire training data set at once.

7. Boosting (machine learning) - Wikipedia

   en.wikipedia.org/wiki/Boosting_(machine_learning)

   Machine learningand data mining. In machine learning, boosting is an ensemble meta-algorithm for primarily reducing bias, variance. [1] It is used in supervised learning and a family of machine learning algorithms that convert weak learners to strong ones. [2]

8. Helmholtz machine - Wikipedia

   en.wikipedia.org/wiki/Helmholtz_machine

   The Helmholtz machine (named after Hermann von Helmholtz and his concept of Helmholtz free energy) is a type of artificial neural network that can account for the hidden structure of a set of data by being trained to create a generative model of the original set of data. [1] The hope is that by learning economical representations of the data ...

9. Vapnik–Chervonenkis dimension - Wikipedia

   en.wikipedia.org/wiki/Vapnik–Chervonenkis...

   Vapnik–Chervonenkis dimension. In Vapnik–Chervonenkis theory, the Vapnik–Chervonenkis (VC) dimension is a measure of the size (capacity, complexity, expressive power, richness, or flexibility) of a class of sets. The notion can be extended to classes of binary functions. It is defined as the cardinality of the largest set of points that ...