公开(公告)号：US20150261990A1

公开(公告)日：2015-09-17

申请号：US14480216

申请日：2014-09-08

Applicant: Electronics and Telecommunications Research Institute

Inventor： Dae Hee KIM ,  Ho Youl JUNG ,  Min Ho KIM ,  Myung Eun LIM ,  Jae Hun CHOI

IPC: G06K9/00 ,  G06T9/00

CPC classification number: H03M7/70 ,  G06T9/00 ,  G06T2207/30072 ,  H03M7/40

Abstract: Provided are a method and apparatus for compressing DNA data based on a binary image. The method for compressing DNA data based on a binary image includes splitting DNA data including adenine (A), thymine (T), guanine (G), cytosine (C), and an indefinite base (N) into a plurality of binary images, determining a coding mode of each of the binary images according to characteristics of each of the binary images, and first coding each of the binary images based on the determined coding mode.

Abstract translation: 提供了一种基于二进制图像压缩DNA数据的方法和装置。 基于二值图像压缩DNA数据的方法包括将包括腺嘌呤（A），胸腺嘧啶（T），鸟嘌呤（G），胞嘧啶（C））和不定碱（N）的DNA数据分解成多个二值图像， 根据每个二进制图像的特性确定每个二进制图像的编码模式，并且基于所确定的编码模式对每个二进制图像进行编码。

公开(公告)号：US20230297895A1

公开(公告)日：2023-09-21

申请号：US18121763

申请日：2023-03-15

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Myung Eun LIM ,  Do Hyeun KIM ,  Jae Hun CHOI

IPC: G06N20/20

CPC classification number: G06N20/20

Abstract: Disclosed are a method and apparatus for selective ensemble prediction based on dynamic model combination. The method of ensemble prediction according to an embodiment of the present disclosure includes: collecting prediction values for input data of each of the prediction models; calculating a model weight of each of the prediction models using a pre-trained ensemble model that uses the prediction value as an input; selecting at least some model weights from the model weights using a predetermined optimal model combination parameter; and calculating an ensemble prediction value for the input data based on the selected model weight and a prediction value of a prediction model corresponding to the selected model weight.

公开(公告)号：US20230316156A1

公开(公告)日：2023-10-05

申请号：US18057080

申请日：2022-11-18

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Do Hyeun KIM ,  Myung Eun LIM ,  Jae Hun CHOI

IPC: G06N20/20

CPC classification number: G06N20/20

Abstract: Disclosed herein a method and apparatus for learning a multi-label ensemble based on multi-center prediction accuracy. According to an embodiment of the present disclosure, there is provided a multi-label ensemble learning method comprising: collecting a prediction value for learning data for each of a plurality of prediction models; calculating a prediction error of each of the prediction models using the prediction value of each of the prediction models and a correct answer prediction value; generating a weight label for each of the prediction models based on the prediction error; and learning an ensemble weight prediction model for predicting a weight of each of the prediction models using the weight label.