117 search results - page 7 / 24 » On Superlinear Lower Bounds in Complexity Theory |
LICS
2012
IEEE
11 years 10 months ago
2012
IEEE
—We show how to reliably compute fast-growing functions with timed-arc Petri nets and data nets. This construction provides ordinal-recursive lower bounds on the complexity of th...
COCO
2004
Springer
13 years 11 months ago
2004
Springer
Based on the framework of parameterized complexity theory, we derive tight lower bounds on the computational complexity for a number of well-known NP-hard problems. We start by pr...
COLT
2006
Springer
13 years 11 months ago
2006
Springer
We describe a new approach for understanding the difficulty of designing efficient learning algorithms. We prove that the existence of an efficient learning algorithm for a circui...
ICAART
2010
INSTICC
14 years 4 months ago
2010
INSTICC
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
FOCS
2010
IEEE
13 years 5 months ago
2010
IEEE
Complexity theory typically studies the complexity of computing a function h(x) : {0, 1}m {0, 1}n of a given input x. A few works have suggested to study the complexity of genera...