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IJCAI
1989
15 years 8 months ago
An Approximate Solver for Symbolic Equations
This paper describes a program, called NEWTON, that finds approximate symbolic solutions to parameterized equations in one variable. N E W T O N derives an initial approximation b...
Elisha Sacks
CAV
2009
Springer
139views Hardware» more  CAV 2009»
16 years 8 months ago
A Concurrent Portfolio Approach to SMT Solving
With the availability of multi-core processors and large-scale computing clusters, the study of parallel algorithms has been revived throughout the industry. We present a portfolio...
Christoph M. Wintersteiger, Leonardo Mendonç...
DAGM
2007
Springer
16 years 1 months ago
Clustered Stochastic Optimization for Object Recognition and Pose Estimation
We present an approach for estimating the 3D position and in case of articulated objects also the joint configuration from segmented 2D images. The pose estimation without initial...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel
CORR
2010
Springer
74views Education» more  CORR 2010»
15 years 7 months ago
Significance of Classification Techniques in Prediction of Learning Disabilities
The aim of this study is to show the importance of two classification techniques, viz. decision tree and clustering, in prediction of learning disabilities (LD) of school-age chil...
Julie M. David, Kannan Balakrishnan
BMCBI
2008
142views more  BMCBI 2008»
15 years 7 months ago
Microarray data mining: A novel optimization-based approach to uncover biologically coherent structures
Background: DNA microarray technology allows for the measurement of genome-wide expression patterns. Within the resultant mass of data lies the problem of analyzing and presenting...
Meng Piao Tan, Erin N. Smith, James R. Broach, Chr...