Papers by Christian Mauceri
In this paper we propose to address a recurrent issue of LSA: the difficulty to interpret factors... more In this paper we propose to address a recurrent issue of LSA: the difficulty to interpret factors. We use an Interpretive Semantics approach to rethink LSA and propose a new framework for textual semantic analysis taking into account the necessary tradeoffs between human workload and efficiency.
Computational Economics, 2007
Kernel methods have been used for various supervised learning tasks. In this paper, we present a ... more Kernel methods have been used for various supervised learning tasks. In this paper, we present a new clustering method based on kernel density. The method does not make any assumption on the number of clusters or on their shapes. The method is simple, robust, and behaves equally or better than other methods on problems known as difficult.
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Papers by Christian Mauceri