325 search results - page 14 / 65 » Evolvable network architectures: what can we learn from biol... |
CORR
2012
Springer
12 years 4 months ago
2012
Springer
The key limiting factor in graphical model inference and learning is the complexity of the partition function. We thus ask the question: what are the most general conditions under...
CSB
2005
IEEE
14 years 2 months ago
2005
IEEE
Scientists face an ever-increasing challenge in investigating biological systems with high throughput experimental methods such as mass spectrometry and gene arrays because of the...
JMLR
2010
13 years 3 months ago
2010
The scientific literature is a rich and challenging data source for research in systems biology, providing numerous interactions between biological entities. Text mining technique...
TNN
2008
13 years 8 months ago
2008
In this paper, we present a novel network to separate mixtures of inputs that have been previously learned. A significant capability of the network is that it segments the componen...
GECCO
2007
Springer
14 years 2 months ago
2007
Springer
We present a new framework for artificial life involving physically simulated, three-dimensional blocks called Division Blocks. Division Blocks can grow and shrink, divide and fo...