Anders Krogh

发表

Joint Estimation of Parameters in Hidden Neural Networks

Sren Kamaric Riis, Anders Krogh, S. K. Riis, 1996 .

Algorithms for Mapping High-Throughput DNA Sequences**Jes Frellsen and Peter Menzel contributed equally.

Anders Krogh, Jes Frellsen, Peter Menzel, 2014 .

Unsupervised Hebbian Learning

John Hertz, Anders Krogh, Richard G. Palmer, 2018 .

Artificial neural networks have been applied to problems ranging from speech recognition to prediction of protein secondary structure, classification of cancers and gene prediction. How do they work and what might they be good for?

Anders Krogh, 2008 .

Biological sequence analysis: Multiple sequence alignment methods

Sean R. Eddy, Anders Krogh, Richard Durbin, 1998 .

On the accuracy of short read mapping.

Anders Krogh, Jes Frellsen, Peter Menzel, 2013, Methods in molecular biology.

Biological sequence analysis: Transformational grammars

Sean R. Eddy, Anders Krogh, Richard Durbin, 1998 .

Unsupervised Competitive Learning

John Hertz, Anders Krogh, Richard G. Palmer, 2018 .

Formal Statistical Mechanics of Neural Networks

John Hertz, Anders Krogh, Richard G. Palmer, 2018 .

Hidden Markov Models in Computational Biology: Applications to Protein Modeling UCSC-CRL-93-32

Michael P. S. Brown, Anders Krogh, I. Saira Mian, 1993 .

Hidden Markov Models for prediction of protein features.

Christopher Bystroff, Anders Krogh, A. Krogh, 2008, Methods in molecular biology.

CAncer bioMarker Prediction Pipeline (CAMPP) - A standardised and user-friendly framework for the analysis of quantitative biological data

Elena Papaleo, Anders Krogh, Thilde Terkelsen, 2019, bioRxiv.

A General Method for Combining Predictors Tested on Protein Secondary Structure Prediction

Anders Krogh, Jakob Hansen, 2000, ANNIMAB.

SAM: SEQUENCE ALIGNMENT AND MODELING SOFTWARE SYSTEM

Anders Krogh, Richard Hughey, R. Hughey, 1995 .

Chapter 4 - An introduction to hidden Markov models for biological sequences

Anders Krogh, A. Krogh, 1998 .

A Manifold Learning Perspective on Representation Learning: Learning Decoder and Representations without an Encoder

Anders Krogh, Viktoria Schuster, 2021, Entropy.

The deep generative decoder: Using MAP estimates of representations pdf

Anders Krogh, Viktoria Schuster, 2021, ArXiv.

Dynamics of Learning in Simple Perceptrons

Anders Krogh, John Hertz, G I Thorbergsson, 1989 .