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The ImageNet Large Scale Visual Recognition Challenge is a benchmark in object category classification and detection on hundreds… Expand Deep neural nets with a large number of parameters are very powerful machine learning systems. However, overfitting is a serious… Expand The Parboil benchmarks are a set of throughput computing applications useful for studying the performance of throughput computing… Expand Scalable heterogeneous computing systems, which are composed of a mix of compute devices, such as commodity multicore processors… Expand This paper presents and characterizes Rodinia, a benchmark suite for heterogeneous computing. To help architects study emerging… Expand This paper presents and characterizes the Princeton Application Repository for Shared-Memory Computers (PARSEC), a benchmark… Expand The support-vector network is a new learning machine for two-group classification problems. The machine conceptually implements… Expand Clustering algorithms are attractive for the task of class identification in spatial databases. However, the application to large… Expand A concept for the optimization of nonlinear functions using particle swarm methodology is introduced. The evolution of several… Expand The optimization of nonlinear functions using particle swarm methodology is described. Implementations of two paradigms are… Expand