We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
This paper reports results for the University of Maryland’s participation in CLEF-2005 Cross-Language Speech Retrieval track. Techniques that were tried include: (1) document ex...
Computationally identifying transcription factor binding sites in the promoter regions of genes is an important problem in computational biology and has been under intensive resea...
Relative fitness, or “evaluation by tests” is one of the building blocks of coevolution: the only fitness information available is a comparison with other individuals in a p...