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searching for Decision boundary 11 found (28 total)

Cluster hypothesis (335 words) [view diff] exact match in snippet view article find links to article

assumption which states that the decision boundary should lie on a low-density region. To prove this, suppose the decision boundary crosses one of the clusters

Signal-to-noise statistic (254 words) [view diff] exact match in snippet view article find links to article

classification accuracy given an ideal linear discrimination, and a decision boundary can be derived. This distance is frequently used to identify vectors

Ho–Kashyap rule (1,151 words) [view diff] exact match in snippet view article find links to article

algorithm is an iterative method in machine learning for finding a linear decision boundary that separates two linearly separable classes. It was developed by

Quantization (signal processing) (6,363 words) [view diff] exact match in snippet view article

{\displaystyle \{I_{k}\}_{k=1}^{M}} , by defining M − 1 {\displaystyle M-1} decision boundary values { b k } k = 1 M − 1 {\displaystyle \{b_{k}\}_{k=1}^{M-1}}

Manifold regularization (3,872 words) [view diff] exact match in snippet view article find links to article

simple decision boundaries (top panel). Manifold learning can draw a decision boundary between the natural classes of the unlabeled data, under the assumption

Voice activity detection (1,876 words) [view diff] exact match in snippet view article find links to article

zero-crossing rate. It applies a simple classification using a fixed decision boundary in the space defined by these features, and then applies smoothing

Mental chronometry (11,533 words) [view diff] exact match in snippet view article find links to article

random noise. The decision threshold (a) represents the width of the decision boundary, or the amount of evidence needed before a response is made. The trial

Cynthia Rudin (1,300 words) [view diff] exact match in snippet view article find links to article

AdaBoost maximizes the L1 margin, which is a type of distance between a decision boundary and the data observation closest to it. Timnit Gebru Joy Buolamwini

Ego depletion (5,045 words) [view diff] exact match in snippet view article find links to article

computational models of decision making to show that when depleted, the decision boundary parameter was reduced, suggesting that people disengage and become

Two-alternative forced choice (3,233 words) [view diff] exact match in snippet view article find links to article

appears that a fixed threshold of neuronal spiking rate is used as the decision boundary for each 2AFC task. Choice modelling Choice set Julian Rotter Fechner

Tsetlin machine (2,921 words) [view diff] exact match in snippet view article find links to article

N_{\text{Clauses}}} Number of automaton states 2 n {\displaystyle 2n} Automaton decision boundary n Automaton initialization state ∅ Init {\displaystyle \varnothing