518 search results - page 99 / 104 » Beating a Random Assignment |
101
Voted
JMLR
2008
14 years 11 months ago
2008
The max-sum classifier predicts n-tuple of labels from n-tuple of observable variables by maximizing a sum of quality functions defined over neighbouring pairs of labels and obser...
89
Voted
JCB
2006
14 years 11 months ago
2006
We propose a dictionary model for haplotypes. According to the model, a haplotype is constructed by randomly concatenating haplotype segments from a given dictionary of segments. ...
160
click to vote
JMLR
2006
14 years 11 months ago
2006
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
136
click to vote
AI
2005
Springer
14 years 11 months ago
2005
Springer
Maximum Boolean satisfiability (max-SAT) is the optimization counterpart of Boolean satisfiability (SAT), in which a variable assignment is sought to satisfy the maximum number of...
102
click to vote
TCOM
2008
14 years 11 months ago
2008
We consider the problem of differentiated rate scheduling for the downlink (i.e., multi-antenna broadcast channel), in the sense that the rates required by different users must sat...