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JMLR
2008
230views more  JMLR 2008»
15 years 6 months ago
Exponentiated Gradient Algorithms for Conditional Random Fields and Max-Margin Markov Networks
Log-linear and maximum-margin models are two commonly-used methods in supervised machine learning, and are frequently used in structured prediction problems. Efficient learning of...
Michael Collins, Amir Globerson, Terry Koo, Xavier...
TEC
2008
115views more  TEC 2008»
15 years 6 months ago
Function Approximation With XCS: Hyperellipsoidal Conditions, Recursive Least Squares, and Compaction
An important strength of learning classifier systems (LCSs) lies in the combination of genetic optimization techniques with gradient-based approximation techniques. The chosen app...
Martin V. Butz, Pier Luca Lanzi, Stewart W. Wilson
WIDM
2003
ACM
15 years 11 months ago
Query rewriting using views in the presence of inclusion dependencies
Query rewriting using views is an essential issue in data integration. A number of algorithms, e.g., the bucket algorithm, the inverse rules algorithm, the SVB algorithm and the M...
Qingyuan Bai, Jun Hong, Michael F. McTear
DATE
2007
IEEE
155views Hardware» more  DATE 2007»
16 years 16 days ago
Design fault directed test generation for microprocessor validation
Functional validation of modern microprocessors is an important and complex problem. One of the problems in functional validation is the generation of test cases that has higher p...
Deepak Mathaikutty, Sandeep K. Shukla, Sreekumar V...
AAAI
2008
15 years 8 months ago
Mathematical Modeling and Convergence Analysis of Trail Formation
An ant deposits pheromone along the path that it travels and is more likely to choose a path with a higher concentration of pheromone. The sensing and dropping of pheromone makes ...
Sameena Shah, Ravi Kothari, Jayadeva, Suresh Chand...