Online learning for search and classification
Online learning is a common and useful tool for machine learning and data mining. In contrast to batch learning, online learning receives a sequence of training instances and uses some of them at a time. By the nature of online learning, the training instances may be processed only once. Therefore o...
Main Author: | Nguyen, Thanh Tam |
---|---|
Other Authors: | Chang Kuiyu |
Format: | Thesis |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/55287 |
Similar Items
-
Automatic sentiment classification of product reviews.
by: Zhou, Yun Yun.
Published: (2008) -
TFIDF meets deep document representation : a re-visit of co-training for text classification
by: Chen, Zhiwei
Published: (2020) -
Selecting training samples from large and noisy corpora for efficient text classification
by: Wong, Daji
Published: (2011) -
Personality detection from text, based on the MBTI model
by: Christienne Grace Regodon, Visco
Published: (2020) -
Generalized AutoNLP model for name entity recognition task
by: Wong, Yung Shen
Published: (2022)