We recently proposed a method for HMM adaptation to noisy environments called Linear Spline Interpolation (LSI). LSI uses linear spline regression to model the relationship betwee...
Multi-task learning leverages shared information among data sets to improve the learning performance of individual tasks. The paper applies this framework for data where each task ...
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Abstract: Model based development, like proposed by the OMG’s Model Driven Arre (MDA), aims to raise the level of abstraction from working on the code to working with models. For...
Component-Based Development(CBD) is an emerging discipline for promoting practical reuse of software. In CBD, by building new software with independently developed components, we ...
Misook Choi, Injoo J. Kim, Jiman Hong, Jungyeop Ki...