Novelty detection is a difficult task, particularly at sentence level. Most of the approaches proposed in the past consist of re-ordering all sentences following their novelty sco...
Abstract--In this paper, we propose a near-maximum likelihood (ML) detection method referred to as reduced dimension ML search (RD-MLS). The RD-MLS detector is based on a partition...
Abstract. Current point-based planning algorithms for solving partially observable Markov decision processes (POMDPs) have demonstrated that a good approximation of the value funct...
Partial periodic patterns mining is a very interesting domain in data mining problem. In the previous studies, full and partial multiple periodic patterns mining problems are cons...
Abstract. We apply the concept of subset seeds proposed in [1] to similarity search in protein sequences. The main question studied is the design of efficient seed alphabets to con...
Mikhail A. Roytberg, Anna Gambin, Laurent No&eacut...