We propose a general-purpose stochastic optimization algorithm, the so-called annealing stochastic approximation Monte Carlo (ASAMC) algorithm, for neural network training. ASAMC c...
This article introduces a scheme for clustering complex and linearly non-separable datasets, without any prior knowledge of the number of naturally occurring groups in the data. T...
—Previous vector architectures divided the available register file space in a fixed number of registers of equal sizes and shapes. We propose a register file organization whic...
Catalin Bogdan Ciobanu, Georgi Kuzmanov, Georgi Ga...
We analyze the regret, measured in terms of log loss, of the maximum likelihood (ML) sequential prediction strategy. This "follow the leader" strategy also defines one o...
Translingual information retrieval (TLIR) consists of providing a query in one language and searching document collections in one or more di erent languages. This paper introduces...
Yiming Yang, Jaime G. Carbonell, Ralf D. Brown, Ro...