- Title
- Learning and Inference in Mixed-State Conditionally Heteroscedastic Factor Models Using Viterbi Approximation
- Creators - without role
- Mohamed Saidane - Université de Montpellier, Institut Montpelliérain Alexander Grothendieck - IMAGChristian Lavergne - Université de Montpellier, Institut Montpelliérain Alexander Grothendieck - IMAG
- Contributors - without role
- V.N. Alexandrov; van AlbadaG.D.; SlootP.M.A.; DongarraJ.J.
- Publication Details
- Lecture Notes in Computer Science, LNCS 3994, pp.Part IV, pp. 312-321
- Identifiers
- 9937206209311
- Academic Unit
- Institut Montpelliérain Alexander Grothendieck - IMAG
- Language
- English
- Resource Type
- Book chapter
- Local Fields
- hal-00194075
Book chapter
Learning and Inference in Mixed-State Conditionally Heteroscedastic Factor Models Using Viterbi Approximation
Lecture Notes in Computer Science, LNCS 3994, pp.Part IV, pp. 312-321
2006
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