pdf

URI: https://gptkb.org/prop/pdf

91 triples

GPTKB property

PDF • hasPDF • paper • paperUrl • pdfUrl • supportsPDF

Subject	Object
gptkb:Inception_v1	https://arxiv.org/abs/1409.4842
gptkb:CityPersons_Dataset	https://arxiv.org/abs/1702.05693
gptkb:2004.05150	https://arxiv.org/pdf/1706.03762.pdf
gptkb:Pearson_Type_IV_distribution	complex form involving gamma function
gptkb:standard_multivariate_normal_distribution	(2π)^(-n/2) exp(-1/2 x^T x)
gptkb:Pearson_Type_VI	f(x) = (a^m * x^{m-1}) / (B(m, n) * (a + x)^{m+n}) for x > 0
gptkb:BERT_on_GLUE	gptkb:BERT:_Pre-training_of_Deep_Bidirectional_Transformers_for_Language_Understanding
gptkb:triangular_distribution	piecewise linear
gptkb:Fisher–Snedecor_distribution	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}]
gptkb:arXiv:1412.6980	https://arxiv.org/pdf/1412.6980.pdf
gptkb:Noncentral_t-distribution	involves infinite sum
gptkb:Onyx_Boox_Tab_Ultra_Air_Pro_10	yes
gptkb:chi_distribution	(1/2^{k/2-1} Gamma(k/2)) x^{k-1} e^{-x^2/2}
gptkb:Onyx_Boox_Max_Lumi	yes
gptkb:Generative_Pre-trained_Transformer_1	https://cdn.openai.com/research-covers/language-unsupervised/language_understanding_paper.pdf
gptkb:Nook_GlowLight_3	Yes
gptkb:Multinomial_naive_Bayes	gptkb:A_Comparison_of_Event_Models_for_Naive_Bayes_Text_Classification
gptkb:chi-squared_distribution_(with_2_degrees_of_freedom)	f(x) = (1/2) * exp(-x/2) for x > 0
gptkb:Standard_Normal_Distribution	(1/√(2π)) * exp(-x²/2)
gptkb:Pearson_type_VII_distribution	has heavy tails