Facilitating learning dynamic programming through a previous introduction of exhaustive search

Greedy approaches suffer from a restricted search space which could lead to suboptimal classifiers in terms of performance and classifier size. This study discusses exhaustive search as an alternative to greedy search for learning short and accurate ...

We consider the standard dynamic program to solve the TSP. We then obtain exponentially large neighborhoods by selecting a polynomially bounded number of states, and restricting the dynamic program to those states only. We show how the Balas and ...

Features extracted by deep convolutional neural network perform well for face recognition. The crux of large-scale face retrieval using such features stems from the trade-off between speed and accuracy: search efficiently while ...