caa a22 4500 46320722X CHVBK 20180405153129.0 cr unu---uuuuu 170326e20071201xx s 000 0 eng 10.1007/s10462-009-9106-9 doi (NATIONALLICENCE)springer-10.1007/s10462-009-9106-9 Providing predictions on distributed HMMs with privacy [Elektronische Daten] [Sahin Renckes, Huseyin Polat, Yusuf Oysal] As forecasting is increasingly becoming important, hidden Markov models (HMMs) are widely used for prediction in many applications such as finance, marketing, bioinformatics, speech recognition, and so on. After creating an HMM, the model owner can start providing predictions. When the model is owned by one party, predictions can be easily provided. However, it becomes a challenge when the model is horizontally or vertically distributed between various parties, even competing companies. The parties want to integrate the split models they own for better forecasting purposes. Due to privacy, financial, and legal reasons; however, they do not want to share their models. We investigate how such parties produce predictions on the distributed model without violating their privacy. We then analyze our proposed schemes in terms of accuracy, privacy, and performance; and finally present our findings. Springer Science+Business Media B.V., 2009 Prediction nationallicence Privacy nationallicence Hidden Markov models nationallicence Distributed models nationallicence Accuracy nationallicence Renckes Sahin Computer Engineering Department, Anadolu University, 26470, Eskisehir, Turkey aut Polat Huseyin Computer Engineering Department, Anadolu University, 26470, Eskisehir, Turkey aut Oysal Yusuf Computer Engineering Department, Anadolu University, 26470, Eskisehir, Turkey aut Artificial Intelligence Review Springer Netherlands 28/4(2007-12-01), 343-362 0269-2821 28:4<343 2007 28 10462 https://doi.org/10.1007/s10462-009-9106-9 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10462-009-9106-9 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Renckes Sahin Computer Engineering Department, Anadolu University, 26470, Eskisehir, Turkey aut NATIONALLICENCE 700 1- Polat Huseyin Computer Engineering Department, Anadolu University, 26470, Eskisehir, Turkey aut NATIONALLICENCE 700 1- Oysal Yusuf Computer Engineering Department, Anadolu University, 26470, Eskisehir, Turkey aut NATIONALLICENCE 773 0- Artificial Intelligence Review Springer Netherlands 28/4(2007-12-01), 343-362 0269-2821 28:4<343 2007 28 10462 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer