Stereo vision for small mobile robots is a challenging problem, particularly when employing embedded systems with limited processing power. However, it holds the promise of greatl...
People frequently use the world-wide web to find their most preferred item among a large range of options. We call this task preference-based search. The most common tool for pref...
We present a perceptron-style discriminative approach to machine translation in which large feature sets can be exploited. Unlike discriminative reranking approaches, our system c...
Neuroevolution is a promising learning method in tasks with extremely large state and action spaces and hidden states. Recent advances allow neuroevolution to take place in real t...
Chern Han Yong, Kenneth O. Stanley, Risto Miikkula...
Currently, the genome sequencing community is producing shotgun sequence data at a very high rate, but genome finishing is not keeping pace, even with the help from several automa...