2 citations · 2 across the 4 of their papers we have counts for
4 papers
BoostLLM: Boosting-inspired LLM Fine-tuning for Few-shot Tabular Classification
Yi-Siang Wang, Kuan-Yu Chen, Yu-Chen Den +1
Large language models (LLMs) have recently been adapted to tabular prediction by serializing structured features into natural language, but their performance in low-data regimes re…
DOFEN: Deep Oblivious Forest ENsemble
Kuan-Yu Chen, Ping-Han Chiang, Hsin-Rung Chou +2
Deep Neural Networks (DNNs) have revolutionized artificial intelligence, achieving impressive results on diverse data types, including images, videos, and texts. However, DNNs stil…
Supervised Machine Learning with a Novel Pointwise Density Estimator
Yen-Jen Oyang, Chien-Yu Chen, Darby Tien-Hao Chang +1
This article proposes a novel density estimation based algorithm for carrying out supervised machine learning. The proposed algorithm features O(n) time complexity for generating a…
Supervised Machine Learning with a Novel Kernel Density Estimator
Yen-Jen Oyang, Darby Tien-Hao Chang, Yu-Yen Ou +3
In recent years, kernel density estimation has been exploited by computer scientists to model machine learning problems. The kernel density estimation based approaches are of inter…