Rademacher complexity
characteristic function
exponential distribution
perplexity
distribution
interpolation
computationalistic
mollifier
cumulant
complexity function
Tukey lambda distribution
Poisson distribution
computativeness
normal distribution
Markov chain
Markoff chain
tractable
renewal theory
multifunction
Weierstrass function
probability density function
affine arithmetic
functional
grade point
Dirichlet energy
random
hypergeometric random variable
Meyer set
mean value theorem
NC
Morse function
superfunction
utility function
quantum
logarithmic derivative
analyst
continuous variable
radial distribution function
transcendental function
probability theory
exact science
computationism
big O notation
probabilistically checkable proof
probability density
normally
power function
polynomial function
stopping time
simple function
Lipschitz
probabilist
Slutsky's theorem
polynomial time
bootstrap model
increasing function
probit
grade point average
P-complete
parameter
mathematical
positone
preexponential
elliptic function
complex measure
superpolynomial
adaptive learning
modulus
hyperfield
changepoint
Bernoulli distribution
Weibull
distribution-free
computability theory
quantifiability
linear function
probability mass function
Julia set
semimartingale
instrumentalism
dry lab
Gaussian
Maxwell-Boltzmann distribution
marginal distribution
computationally
data processing
reservoir computing
stratoanalysis
Calabi-Yau manifold
activation function
quasianalytic
complete
extended time scale
neuroinformatics
slow time scale
complex geometry

English words for 'In computational learning theory, a measure of the richness of a class of real-valued functions with respect to a probability distribution.'

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