Background: Biological signaling pathways that govern cellular physiology form an intricate web of tightly regulated interlocking processes. Data on these regulatory networks are ...
Ran Elkon, Rita Vesterman, Nira Amit, Igor Ulitsky...
: In order to scale to problems with large or continuous state-spaces, reinforcement learning algorithms need to be combined with function approximation techniques. The majority of...
Abstract— To increase reliability and robustness of missioncritical services in the face of routing changes, it is often desirable and beneficial to take advantage of path diver...
Meeyoung Cha, Sue B. Moon, Chong-Dae Park, Aman Sh...
—Efficient operation of wireless networks and switches requires using simple (and in some cases distributed) scheduling algorithms. In general, simple greedy algorithms (known a...
Berk Birand, Maria Chudnovsky, Bernard Ries, Paul ...
It has long been known that lateral inhibition in neural networks can lead to a winner-take-all competition, so that only a single neuron is active at a steady state. Here we show...
Xiaohui Xie, Richard H. R. Hahnloser, H. Sebastian...