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gptkb:Natural_Questions:_A_Benchmark_for_Question_Answering_Research
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https://arxiv.org/abs/1906.00300
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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:exponential_distribution
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lambda * exp(-lambda * x)
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gptkb:Squeeze-and-Excitation_Networks
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https://arxiv.org/abs/1709.01507
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gptkb:Pearson_Type_IV_distribution
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complex form involving gamma function
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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:Onyx_Boox_Max_2
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yes
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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: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:standard_multivariate_normal_distribution
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(2π)^(-n/2) exp(-1/2 x^T x)
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gptkb:Generative_Pre-trained_Transformer_3
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gptkb:Language_Models_are_Few-Shot_Learners
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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:Onyx_Boox_Note_Air
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yes
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gptkb:normal_distribution
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(1/(σ√(2π))) * exp(-0.5*((x-μ)/σ)^2)
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gptkb:Fisher–Snedecor_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:2004.05150
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https://arxiv.org/pdf/1706.03762.pdf
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gptkb:uniform_distribution
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1/(b-a) for a ≤ x ≤ b
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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:Pearson_Type_I
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f(x) = (x-a)^{alpha-1} (b-x)^{beta-1} / B(alpha, beta) (b-a)^{alpha+beta-1}
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gptkb:beta_distribution
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x^(alpha-1) * (1-x)^(beta-1) / B(alpha, beta)
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