We present a framework for efficient extrapolation of reduced rank approximations, graph kernels, and locally linear embeddings (LLE) to unseen data. We also present a principled ...
S. V. N. Vishwanathan, Karsten M. Borgwardt, Omri ...
We present DepQBF 0.1, a new search-based solver for quantified boolean formulae (QBF). It integrates compact dependency graphs to overcome the restrictions imposed by linear quan...
Query recommendation is considered an effective assistant in enhancing keyword based queries in search engines and Web search software. Conventional approach to query recommendati...
Lin Li, Zhenglu Yang, Ling Liu, Masaru Kitsuregawa
This paper describes a new method for providing recommendations tailored to a user's preferences using text mining techniques and online technical specifications of products....
Alexander Yates, James Joseph, Ana-Maria Popescu, ...
Abstract. We study Winner-Takes-All and rank based Vector Quantization along the lines of the statistical physics of off-line learning. Typical behavior of the system is obtained w...