Tin Kam Ho - Wikipedia
Tin Kam Ho (Chinese: 何天琴) is a computer scientist at IBM Research with contributions to machine learning, data mining, and classification. Ho is noted for introducing random decision forests in 1995, and for her pioneering work in ensemble learning and data complexity analysis.
Tin Kam Ho - Google Scholar
The random subspace method for constructing decision forests. Pattern Analysis and Machine Intelligence. Advances in Pattern Recognition: Joint IAPR International Workshops SSPR'98 … I Guyon, K...
Tin Kam Ho | IEEE Xplore Author Details
Tin Kam Ho (S'89–M'91–SM'02–F'06) received the Ph.D. degree in computer science from SUNY at Buffalo, Buffalo, NY, USA, in 1992. She is a Research Staff Member of IBM Watson Group. Formerly, she was with Bell Labs Research, where she led the Statistics and Learning Research Department in 2008–2014.
Tin Kam Ho is a senior AI scientist at IBM Research, currently working on generative AI for computing. Earlier, she led projects in semantic modeling of natural languages in IBM Watson and Watson Health.
Tin Kam Ho | IEEE Xplore Author Details
Tin Kam Ho ([email protected]) received her Ph.D. degree in computer science from the State University of New York at Buffalo in 1992. She is a senior artificial intelligence scientist at IBM Watson Health, Yorktown Heights, New York, 10598-0218, USA, where she leads projects in semantic modeling of natural languages in clinical applications.
Tin Kam Ho | IEEE Xplore Author Details
Tin Kam Ho received the Ph.D. in computer science from the State University of New York at Buffalo, Buffalo, NY, in 1992. She is a Member of Technical Staff in the Computing Sciences Research Center, Bell Laboratories, Lucent Technologies, Murray Hill, NJ.
Tin Kam Ho - OpenReview
Tin Kam Ho Senior AI Scientist, Watson Health, International Business Machines. Joined ; June 2017
Tin Kam Ho – DeepLearn 2022 Autumn
Tin Kam Ho is a senior AI scientist with rich experience in basic and applied research in pattern recognition and machine learning. She joined IBM Watson in 2014, where she has led projects in semantic modeling of natural languages, knowledge discovery, text summarization, question answering, and conversational systems (chatbots).
Tin Kam Ho - dblp
Rajesh Bordawekar, Oded Shmueli, Nesime Tatbul, Tin Kam Ho: Proceedings of the Third International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM@SIGMOD 2020, Portland, Oregon, USA, June 19, 2020.
Tin Kam Ho - bell-labs.co
On classification, I explored methods for multiple classifier systems, random decision forests, and more recently, data complexity analysis. To facilitate these, I also explore methods and tools for interactive data visualization and analysis.