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* [[Quantification (machine learning)]], the task of estimating class prevalence values in unlabelled data ...

* [[Learning to rank]], ordering data with machine learning * [[Load task register]], a machine-code instruction ...

{{Short description|Task of generating recommendations to a user}} ...and avoid redundancy. This problem is sometimes studied as a computational learning theory problem. Another approach for formulating this problem is a [[partia ...

{{Short description|Machine learning for robots}} ...raints for collecting data and learning) and opportunities for guiding the learning process (e.g. sensorimotor synergies, motor primitives). ...

...tions of one another. Word alignment is typically done after [[Statistical machine translation#Sentence alignment|sentence alignment]] has already identified ...clweb.org/anthology/W99-0604.pdf Improved alignment models for statistical machine translation], Proc. of the Joint SIGDAT Conf. on Empirical Methods in Natur ...

* [[Master of Teaching and Learning]] postgraduate degree * [[Machine translation]], often abbreviated as "MTL" ...

...ntify the [[semantic class]] they belong to e.g. in a [[machine learning]] task. ...

...cognition Algorithms]". ''NISTIR 6264 and IEEE Trans. Pattern Analysis and Machine Intelligence'', '''22'''(10), Oct. 2000.</ref> ...eret/doc/FERET_PAMI_Oct_2000.pdf IEEE Transactions on Pattern Analysis and Machine Intelligence, VOL. 22, NO. 10, October 2000] ...

...ter graphics]], '''view synthesis''', or '''novel view synthesis''', is a task which consists of generating images of a specific subject or scene from a s ...kled with significant success, mostly as a result of advances in [[machine learning]]. Notable successful methods are [[Neural radiance field|Neural Radiance ...

...ributes than is possible in the case of flat, numerical [[Feature (machine learning)#Feature vectors|feature vector]]s of fixed dimensionality that are used in ...sub-patterns in a hierarchical fashion. This helps divide the recognition task into easier subtasks of first identifying sub-patterns, and then the actual ...

{{for|cumulative learning in artificial intelligence|Multi-task learning}} ...">{{cite journal |last1=Maton |first1=Karl |title=Cumulative and segmented learning: exploring the role of curriculum structures in knowledge-building |journal ...

In [[logic]], [[statistical inference]], and [[supervised learning]], An example of learning which is not inductive would be in the case of binary ...

{{Short description|Machine learning technique}} [[File:Transfer learning.svg|thumb|Illustration of transfer learning]] ...

| genre = Data science, machine learning, [[predictive analytics]] '''RapidMiner''', formerly known as YALE (Yet Another Learning Environment), was developed by Ralf Klinkenberg, Ingo Mierswa, and Simon Fi ...

...ects to some pre-existing classes or categories. This is distinct from the task of establishing the classes themselves (for example through [[cluster analy ...ss both classification and the creation of classes, as for example in 'the task of categorizing pages in Wikipedia'; this overall activity is listed under ...

...asic strategy; the latter may be used to automate a repetitive and tedious task like [[Grinding (video gaming)|farming]]. ...ning]] for dynamic learning of patterns of the opponent as well as dynamic learning of previously unknown maps, whereas more trivial bots may rely completely o ...

'''Data Stream Mining''' (also known as '''stream learning''') is the process of extracting knowledge structures from continuous, rapi Machine learning techniques can be used to learn this prediction task from labeled examples in an automated fashion. ...

...ural network]] that learns to pronounce written English text by supervised learning. It takes English text as input, and produces a matching [[phonetic transcr ...as a [[connectionist]] model that could also learn to perform a comparable task. The authors trained it by [[backpropagation]].<ref name=":3">Sejnowski, Te ...

* [[TensorFlow]], a machine learning library by [[Google]] * [[Task force]], a unit or formation established to work on a single defined task or activity ...

...ler|first2=H.|date=April 2000|title=Visual routines for eye location using learning and evolution|journal=IEEE Transactions on Evolutionary Computation|volume= ...are composed of a sequence of elementary visual operators specific to the task at hand. Visual routines differ from the fixed operations of the base repre ...