Co-clustering can be viewed as a two-way (bilinear) factorization of a large data matrix into dense/uniform and possibly overlapping submatrix factors (co-clusters). This combinat...
Hao Zhu, Gonzalo Mateos, Georgios B. Giannakis, Ni...
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
The genome projects have provided comprehensive information about the basic building blocks of life. The next challenge is to understand how biological functions emerge from compl...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...
Steady state flux balance analysis (FBA) for cellular metabolism is used, e.g., to seek information on the activity of the different pathways under equilibrium conditions, or as a...
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...