Bias/variance analysis is a useful tool for investigating the performance of machine learning algorithms. Conventional analysis decomposes loss into errors due to aspects of the le...
rocesses involve modeling – simplifying or abstracting some aspects of the problem domain in order to plan and evaluate design decisions. The use of representations to reason abo...
same level of system-level CAD support that is now commonplace in the IC industry.Recent advances in microfluidics are expected to lead to sensor systems for high-throughput bioche...
We propose test-based pointcuts, a novel pointcut mechanism for AspectJ-like aspect-oriented programming languages. The idea behind the test-based pointcuts is to specify join poi...
Since counterexamples generated by model checking tools are only symptoms of faults in the model, a significant amount of manual work is required in order to locate the fault that...