Object–verb–subject word orderIn linguistic typology, object–verb–subject (OVS) or object–verb–agent (OVA) is a rare permutation of word order. OVS denotes the sequence object–verb–subject in unmarked expressions: Oranges ate Sam, Thorns have roses. The passive voice in English may appear to be in the OVS order, but that is not an accurate description. In an active voice sentence like Sam ate the oranges, the grammatical subject, Sam, is the agent and is acting on the patient, the oranges, which are the object of the verb, ate.
Subject–verb–object word orderIn linguistic typology, subject–verb–object (SVO) is a sentence structure where the subject comes first, the verb second, and the object third. Languages may be classified according to the dominant sequence of these elements in unmarked sentences (i.e., sentences in which an unusual word order is not used for emphasis). English is included in this group. An example is "Sam ate yogurt." SVO is the second-most common order by number of known languages, after SOV. Together, SVO and SOV account for more than 87% of the world's languages.
Verb–object–subject word orderIn linguistic typology, a verb–object–subject or verb–object–agent language, which is commonly abbreviated VOS or VOA, is one in which most sentences arrange their elements in that order. That would be the equivalent in English to "Drank cocktail Sam." The relatively rare default word order accounts for only 3% of the world's languages. It is the fourth-most common default word order among the world's languages out of the six.
Hybrid vehicle drivetrainHybrid vehicle drivetrains transmit power to the driving wheels for hybrid vehicles. A hybrid vehicle has multiple forms of motive power. Hybrids come in many configurations. For example, a hybrid may receive its energy by burning gasoline, but switch between an electric motor and a combustion engine. Electrical vehicles have a long history combining internal combustion and electrical transmission - as in a diesel–electric power-train - although they have mostly been used for rail locomotives.
MemorizationMemorization (British English: memorisation) is the process of committing something to memory. It is a mental process undertaken in order to store in memory for later recall visual, auditory, or tactical information. The scientific study of memory is part of cognitive neuroscience, an interdisciplinary link between cognitive psychology and neuroscience. Within the first three years of a child's life, they begin to show signs of memory that is later improved into their adolescent years.
Feature learningIn machine learning, feature learning or representation learning is a set of techniques that allows a system to automatically discover the representations needed for feature detection or classification from raw data. This replaces manual feature engineering and allows a machine to both learn the features and use them to perform a specific task. Feature learning is motivated by the fact that machine learning tasks such as classification often require input that is mathematically and computationally convenient to process.
Encoding (memory)Memory has the ability to encode, store and recall information. Memories give an organism the capability to learn and adapt from previous experiences as well as build relationships. Encoding allows a perceived item of use or interest to be converted into a construct that can be stored within the brain and recalled later from long-term memory. Working memory stores information for immediate use or manipulation, which is aided through hooking onto previously archived items already present in the long-term memory of an individual.
Word processorA word processor (WP) is a device or computer program that provides for input, editing, formatting, and output of text, often with some additional features. Early word processors were stand-alone devices dedicated to the function, but current word processors are word processor programs running on general purpose computers. The functions of a word processor program fall somewhere between those of a simple text editor and a fully functioned desktop publishing program.
Online machine learningIn 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. Online learning is a common technique used in areas of machine learning where it is computationally infeasible to train over the entire dataset, requiring the need of out-of-core algorithms.
Labeled dataLabeled data is a group of samples that have been tagged with one or more labels. Labeling typically takes a set of unlabeled data and augments each piece of it with informative tags. For example, a data label might indicate whether a photo contains a horse or a cow, which words were uttered in an audio recording, what type of action is being performed in a video, what the topic of a news article is, what the overall sentiment of a tweet is, or whether a dot in an X-ray is a tumor.
