Hybrid Modeling, HMM/NN Architectures, and Protein Applications
By Pierre Baldi, Yves Chauvin. 1996
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- Liva Ralaivola
- Hiroto Saigo
- S. Joshua Swamidass
- J. Urgen Schmidhuber
- Geoffrey E. Hinton
- Yoshua Bengio
- Sean R. Eddy
- Sergey Levine
Citations in the corpus
- Deep learning in neural networks: An overview (2014, background): “…& Petrie, 1966; Stratonovich, 1960) and ExpectationMaximization (EM) (Dempster, Laird, & Rubin, 1977; Friedman, Hastie, & Tibshirani, 2001), e.g., Baldi and Chauvin (1996), Bengio (1991), Bishop (2006), Bottou (1991), Bourlard andMorgan (1994), Dahl, Yu, Deng, and Acero (2012), Hastie,…”
- The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem (2003, background): “Although this approach has not been applied systematically to many large-scale problems, by itself it is not new and can be traced, in more or less obscure form, to a number of publications including Baldi and Chauvin (1996), Bengio and Frasconi (1996), Sperduti and Starita (1997), Goller (1997), Le”
- Graph kernels for chemical informatics (2005, methodology): “The recursive neural network (RNN) approach [Baldi and Chauvin, 1996, Goller and Kuchler, 1996, Sperduti and Starita, 1997, LeCun et al., 1998, Frasconi et al., 1998, Micheli et al., 2001, 2003, Baldi and Pollastri, 2003] can be viewed as a variation of the graphical model approach with Bayesian…”
- Profile hidden Markov models (1998, methodology): “It is possible to reduce the effective number of free parameters even further by adopting hybrid HMM/neural network techniques (Baldi and Chauvin, 1996 ).”
- Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners (2002, background): “…other general set of functions) which S64 amounts to consider that the state of each node is a deterministic vector that depends on the value of the parent vectors through a function that is implemented by a neural network (Baldi and Chauvin, 1996; Frasconi et al., 1998; Pollastri et al., 2001a,b).”