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FSTTCS
1992
Springer
13 years 11 months ago
Structural Average Case Complexity
Levin introduced an average-case complexity measure, based on a notion of \polynomialon average," and de ned \average-case polynomial-time many-one reducibility" amongra...
Rainer Schuler, Tomoyuki Yamakami
GECCO
1999
Springer
13 years 12 months ago
Reaction Temperature Constraints in DNA Computing
Using the thermodynamics of DNA melting, a technique is proposed to choose a reaction temperature for the DNA computation that minimizes the potential for mishybridizations. Adlem...
Russell J. Deaton
BMCBI
2007
105views more  BMCBI 2007»
13 years 7 months ago
Text-derived concept profiles support assessment of DNA microarray data for acute myeloid leukemia and for androgen receptor sti
Background: High-throughput experiments, such as with DNA microarrays, typically result in hundreds of genes potentially relevant to the process under study, rendering the interpr...
Rob Jelier, Guido Jenster, Lambert C. J. Dorssers,...
SIGMETRICS
2008
ACM
161views Hardware» more  SIGMETRICS 2008»
13 years 7 months ago
Noncooperative power control and transmission scheduling in wireless collision channels
We consider a wireless collision channel, shared by a finite number of mobile users who transmit to a common base station using a random access protocol. Mobiles are selfoptimizin...
Ishai Menache, Nahum Shimkin
ICPR
2000
IEEE
14 years 8 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes