| Presentation | 2015-06-23 Lazy Transfer Leanring Song Liu, Kenji Fukumizu, |
|---|---|
| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | The concept of Transfer Learning frequently rises when one has already acquired a general-purpose classifier (e.g. human hand-writing recognizer) and want to enhance it on a similar but slightly different task (John's hand-writing recognition). In this paper, we focus on a ``lazy'' setting where an accurate general purpose probabilistic classifier is already given and the transfer algorithm is executed afterwards. We propose a novel methodology to estimate the class-posterior ratio using a sparse parametric model. The new classifier therefore is obtained by multiplying the existing classifier with the approximated posterior ratio. The usefulness of the proposed method is demonstrated via numerical and real-world experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Transfer LearningDiscriminative LearningPosterior Ratio Estimation |
| Paper # | IBISML2015-12 |
| Date of Issue | 2015-06-16 (IBISML) |
| Conference Information | |
| Committee | NC / IPSJ-BIO / IBISML / IPSJ-MPS |
|---|---|
| Conference Date | 2015/6/23(3days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Okinawa Institute of Science and Technology |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Machine Learning Approach to Biodata Mining, and General |
| Chair | Toshimichi Saito(Hosei Univ.) / Masakazu Sekijima(東工大) / Takashi Washio(Osaka Univ.) / Hayaru Shouno(電通大) |
| Vice Chair | Shigeo Sato(Tohoku Univ.) / / Kenji Fukumizu(ISM) / Masashi Sugiyama(Tokyo Inst. of Tech.) |
| Secretary | Shigeo Sato(Kyushu Inst. of Tech.) / (Kyoto Sangyo Univ.) / Kenji Fukumizu(京大) / Masashi Sugiyama(お茶の水女子大) / (OIST) |
| Assistant | Hiroyuki Kanbara(Tokyo Inst. of Tech.) / Hisanao Akima(Tohoku Univ.) / / Koji Tsuda(Univ. of Tokyo) / Hisashi Kashima(Kyoto Univ.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Special Interest Group on Bioinformatics and Genomics / Technical Committee on Infomation-Based Induction Sciences and Machine Learning / Special Interest Group on Mathematical Modeling and Problem Solving |
|---|---|
| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Lazy Transfer Leanring |
| Sub Title (in English) | |
| Keyword(1) | Transfer LearningDiscriminative LearningPosterior Ratio Estimation |
| 1st Author's Name | Song Liu |
| 1st Author's Affiliation | Institute of Statistical Mathematics(ISM) |
| 2nd Author's Name | Kenji Fukumizu |
| 2nd Author's Affiliation | Institute of Statistical Mathematics(ISM) |
| Date | 2015-06-23 |
| Paper # | IBISML2015-12 |
| Volume (vol) | vol.115 |
| Number (no) | IBISML-112 |
| Page | pp.pp.75-80(IBISML), |
| #Pages | 6 |
| Date of Issue | 2015-06-16 (IBISML) |