1 views collected around this technical thread.
This article explains the t‑distribution, its derivation from the normal and chi‑square distributions, illustrates how its shape changes with degrees of freedom, and shows how to construct confidence intervals for population means when sample sizes are small and the population variance is unknown.
This article presents a study on enhancing text representation and clustering in a small‑sample setting for 58's second‑hand car intelligent customer service by introducing a Bi‑LSTM based pre‑training language model and an improved Deep Embedded Clustering (DEC) algorithm, demonstrating significant gains in accuracy, silhouette score, and answer‑rate through extensive experiments.
This article presents a study on enhancing text representation and clustering purity in the small‑sample 58.com used‑car customer‑service scenario by introducing a Bi‑LSTM based pre‑trained language model and an improved Deep Embedded Clustering (DEC) algorithm, demonstrating significant gains in accuracy, silhouette score, and answer‑rate.