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Scripture Scripture is a method for transcriptome reconstruction that relies solely on RNA-Seq reads and an assembled genome to build a transcriptome ab initio. The statistical methods to estimate read coverage significance are also applicable to other sequencing data. Scripture also has modules for ChIP-Seq peak calling.
Paired association learning can be defined as a system of learning in which items (such as words, letters, numbers, symbols etc.) are matched so that presentation of one member of the pair will cue the recall of the other member. [3] It is this learning which constitutes the basics in a paired-associate task. These tasks can be divided into the ...
The implicit association test is a testing method designed by Anthony Greenwald, Debbie McGhee and Jordan Schwartz, and was first introduced in 1998. [2] The IAT measures the associative strength between categories (e.g. Bug, Flower) and attributes (e.g. Bad, Good) by having participants rapidly classify stimuli that represent the categories and attributes of interest on a computer. [3]
Temporal difference (TD) learning refers to a class of model-free reinforcement learning methods which learn by bootstrapping from the current estimate of the value function. These methods sample from the environment, like Monte Carlo methods , and perform updates based on current estimates, like dynamic programming methods.
In a typical study using paired-associate learning, subjects would be presented with pairs of unrelated words (cat, phone) and then memory for those word pairs would be tested. Results from Rohwer’s (1966) studies on paired-associate learning indicate that subjects have increased recall ability when words are associated with a specific ...
Two-alternative forced choice (2AFC) is a method for measuring the sensitivity of a person or animal to some particular sensory input, stimulus, through that observer's pattern of choices and response times to two versions of the sensory input. For example, to determine a person's sensitivity to dim light, the observer would be presented with a ...
Based on retroactive interference, learning of A-B paired associates declined due to the learning of the subsequent A-C associates, and as a result, there was a higher rate of responses from list C by the participants on the recall test. [5] One day (24 hours) after learning both sets of associates, participants were again tested.
Rule-based machine learning (RBML) is a term in computer science intended to encompass any machine learning method that identifies, learns, or evolves 'rules' to store, manipulate or apply. [ 1 ] [ 2 ] [ 3 ] The defining characteristic of a rule-based machine learner is the identification and utilization of a set of relational rules that ...