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gptkb:F-distribution
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f(x; d1, d2) = [d1^{d1/2} d2^{d2/2} x^{(d1/2)-1}]/[B(d1/2, d2/2) (d1 x + d2)^{(d1+d2)/2}]
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gptkb:inverse_gamma_distribution
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f(x; α, β) = (β^α / Γ(α)) x^(-α-1) exp(-β/x)
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gptkb:BERT_on_GLUE
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gptkb:BERT:_Pre-training_of_Deep_Bidirectional_Transformers_for_Language_Understanding
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gptkb:Johnson_SB_distribution
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f(x) = (delta / (lambda * sqrt(2*pi))) * [1 / (y*(1-y))] * exp(-0.5 * [gamma + delta * ln(y/(1-y))]^2), where y = (x - xi)/lambda
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gptkb:standard_multivariate_normal_distribution
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(2π)^(-n/2) exp(-1/2 x^T x)
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gptkb:Nakagami_distribution
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(2m^m)/(Γ(m)Ω^m) x^{2m-1} exp(-m x^2/Ω), x ≥ 0
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gptkb:Onyx_Boox_Tab_Ultra_Air_Pro_10
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yes
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gptkb:DINOv2
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https://arxiv.org/abs/2304.07193
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gptkb:exponential_distribution
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lambda * exp(-lambda * x)
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gptkb:chi_distribution
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(1/2^{k/2-1} Gamma(k/2)) x^{k-1} e^{-x^2/2}
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gptkb:Log-gamma_distribution
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f(x; μ, θ, k) = (1/Γ(k)θ^k) exp(k(x-μ)/θ - exp((x-μ)/θ))
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gptkb:Onyx_Boox_Max_4
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yes
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gptkb:student's_t-distribution
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f(x) = Γ((ν+1)/2) / (√(νπ) Γ(ν/2)) (1 + x²/ν)^(-(ν+1)/2)
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gptkb:arXiv:1411.4028
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https://arxiv.org/pdf/1411.4028.pdf
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gptkb:uniform_distribution
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1/(b-a) for a ≤ x ≤ b
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gptkb:Onyx_Boox_Max_2
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yes
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gptkb:BERT_on_SQuAD
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gptkb:BERT:_Pre-training_of_Deep_Bidirectional_Transformers_for_Language_Understanding
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gptkb:chi-squared_distribution
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(1/(2^{k/2}Γ(k/2))) x^{(k/2)-1} e^{-x/2}
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gptkb:Pearson_Type_VI
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f(x) = (a^m * x^{m-1}) / (B(m, n) * (a + x)^{m+n}) for x > 0
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gptkb:YOLOX
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https://arxiv.org/abs/2107.08430
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