Abstract. We consider two natural generalizations of the notion of transversal to a finite hypergraph, arising in data-mining and machine learning, the so called multiple and parti...
Endre Boros, Vladimir Gurvich, Leonid Khachiyan, K...
Traditional data-oriented programming languages such as dataflow s and stream languages provide a natural abstraction for parallel programming. In these languages, a developer fo...
Abstract. In this work, we introduce one-time programs, a new computational paradigm geared towards security applications. A one-time program can be executed on a single input, who...
Shafi Goldwasser, Yael Tauman Kalai, Guy N. Rothbl...
We describe formal steps in the design of iState, a tool for translating statecharts into programming languages. Currently iState generates code in either Java, or the Abstract Mac...
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...