The development of high-throughput genome sequencing and protein structure determination techniques have provided researchers with a wealth of biological data. Integrated analysis...
William M. Shui, Raymond K. Wong, Stephen C. Graha...
Sample selection bias is a common problem in many real world applications, where training data are obtained under realistic constraints that make them follow a different distribut...
We present a coordination language and its semantics for specification and implementation of object-oriented realtime systems. Real-time systems operate under real-time constraint...
Feature trees have been used to accommodate records in constraint programming and record like structures in computational linguistics. Feature trees model records, and feature cons...
Abstract. Adaptive consistency is a solving algorithm for constraint networks. Its basic step is variable elimination: it takes a network as input, and producesan equivalent networ...