Bioinformatics: The Machine Learning Approach.Second Edition. Adaptive Computation and Machine Learning. ByPierre Baldiand, Sørenv Brunak.A Bradford Book. Cambridge (Massachusetts): MIT Press.…

By Bruce Rannala. 2002

40 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Molecular Biology

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Pierre Baldi
2. Gianluca Pollastri
3. Jianlin Cheng
4. Arlo Z. Randall
5. J. Urgen Schmidhuber
6. Peter Sadowski
7. Jesse Eickholt
8. Chaopeng Shen

In Molecular Biology

1. Pierre Baldi
2. Gianluca Pollastri
3. Alessandro Lusci
4. Jianlin Cheng
5. Jinbo Xu
6. Lukasz Kurgan
7. Yang Zhang
8. Arlo Z. Randall

Citations in the corpus

• Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like molecules (2013, background): “47 With two dimensional data such as images, protein contact maps, or board games (e.g.”
• Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners (2002, methodology): “The unobserved entries can be set to zero or regularized to small non-zero values using standard Dirichlet priors (Baldi and Brunak, 2001).”
• Pattern Recognition and Machine Learning (2006, unknown): “, 1986), and for the analysis of biological sequences such as proteins and DNA (Krogh et al., 1994; Durbin et al., 1998; Baldi and Brunak, 2001).”