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gptkb:Onyx_Boox_Max_Lumi
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yes
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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: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:pre-trained_wav2vec2_models
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gptkb:wav2vec_2.0:_A_Framework_for_Self-Supervised_Learning_of_Speech_Representations
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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:arXiv:1810.09434
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https://arxiv.org/pdf/1810.09434.pdf
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gptkb:Weibull_distribution
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f(x; k, λ) = (k/λ) (x/λ)^{k-1} e^{-(x/λ)^k} for x ≥ 0
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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_V
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f(x; a, b) = (b^a / Γ(a)) x^(-a-1) exp(-b/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:Pearson_Type_X_distribution
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f(x; α, β) = (x^{α-1} (1+x)^{-α-β}) / B(α, β)
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gptkb:Pearson_Type_IV_distribution
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complex form involving gamma function
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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: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:Noncentral_t-distribution
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involves infinite sum
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gptkb:DINOv2
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https://arxiv.org/abs/2304.07193
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gptkb:triangular_distribution
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piecewise linear
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gptkb:Noncentral_chi-squared_distribution
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Involves modified Bessel function
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gptkb:Beta_distribution
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f(x; alpha, beta) = x^{alpha-1} (1-x)^{beta-1} / B(alpha, beta)
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gptkb:Onyx_Boox_Max_4
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yes
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