Since most real-world applications of classification learning involve continuous-valued attributes, properly addressing the discretization process is an important problem. This pa...
: The reliability of a communications network is often evaluated without taking into account the economic consequence of failures. Here a new approach is proposed to assess the eco...
Submodular function maximization is a central problem in combinatorial optimization, generalizing many important problems including Max Cut in directed/undirected graphs and in hy...
Jon Lee, Vahab S. Mirrokni, Viswanath Nagarajan, M...
K-means is a widely used partitional clustering method. A large amount of effort has been made on finding better proximity (distance) functions for K-means. However, the common c...
Run-length codes and their variants have recently been shown to be very effective for compressing system-on-achip (SOC) test data. In this paper, we analyze the Golomb code, the c...
Anshuman Chandra, Krishnendu Chakrabarty, Rafael A...