Since the cost from one cell to any adjacent cell is 1, the greedy algorithm would move 1 cell in each open path, given the path was not blocked off. With A* algorithm, however, since the heuristic ...

This paper concerns a greedy EM algorithm for t-mixture modeling, which is more robust than Gaussian mixture modeling when a typical points exist or the set of data has heavy tail. Local Kullback ...

A greedy algorithm for model selection of tensor decompositions Abstract: Various tensor decompositions use different arrangements of factors to explain multi-way data. Components from different ...

A team from Google Research has open-sourced Model Search, an automated machine learning (AutoML) platform for designing deep-learning models. Experimental results show that the system produces models ...

A greedy algorithm can still work for this problem, but you have to make some assumptions or heuristics to estimate the value-to-weight ratios and the remaining capacity.