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EMNLP
2011
13 years 9 months ago
Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Log-linear parsing models are often trained by optimizing likelihood, but we would prefer to optimise for a task-specific metric like Fmeasure. Softmax-margin is a convex objecti...
Michael Auli, Adam Lopez
CORR
2002
Springer
96views Education» more  CORR 2002»
14 years 9 months ago
The Sketch of a Polymorphic Symphony
In previous work, we have introduced functional strategies, that is, first-class generic functions that can traverse into terms of any type while mixing uniform and type-specific ...
Ralf Lämmel
85
Voted
LCTRTS
2007
Springer
15 years 3 months ago
Scratchpad allocation for data aggregates in superperfect graphs
Existing methods place data or code in scratchpad memory, i.e., SPM by either relying on heuristics or resorting to integer programming or mapping it to a graph coloring problem. ...
Lian Li 0002, Quan Hoang Nguyen, Jingling Xue
SIGMETRICS
2005
ACM
120views Hardware» more  SIGMETRICS 2005»
15 years 3 months ago
Automatic measurement of memory hierarchy parameters
The running time of many applications is dominated by the cost of memory operations. To optimize such applications for a given platform, it is necessary to have a detailed knowled...
Kamen Yotov, Keshav Pingali, Paul Stodghill
AUSAI
2005
Springer
15 years 3 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb