Feature selection, as a preprocessing step to machine learning, has been very effective in reducing dimensionality, removing irrelevant data, increasing learning accuracy, and imp...
Abstract. We present a new approach for developing robust software applications that breaks dependences on the failed parts of an application’s execution to allow the rest of the...
Abstract. Quantified Boolean formulas (QBFs) play an important role in artificial intelligence subjects, specially in planning, knowledge representation and reasoning [20]. In th...
Mohammad GhasemZadeh, Volker Klotz, Christoph Mein...
The multicluster architecture that we introduce offers a decentralized, dynamically-scheduled architecture, in which the register files, dispatch queue, and functional units of t...
Keith I. Farkas, Paul Chow, Norman P. Jouppi, Zvon...
Since their beginning in constraint programming, set solvers have been applied to a wide range of combinatorial search problems, such as bin-packing, set partitioning, circuit desi...