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DMIN
2006
122views Data Mining» more  DMIN 2006»
15 years 6 months ago
Clustering of Bi-Dimensional and Heterogeneous Time Series: Application to Social Sciences Data
We present an application of bi-dimensional and heterogeneous time series clustering in order to resolve a Social Sciences issue. The dataset is the result of a survey involving mo...
Rémi Gaudin, Sylvaine Barbier, Nicolas Nico...
124
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IWEC
2004
15 years 6 months ago
Enhancing the Performance of Dynamic Scripting in Computer Games
Unsupervised online learning in commercial computer games allows computer-controlled opponents to adapt to the way the game is being played. As such it provides a mechanism to deal...
Pieter Spronck, Ida G. Sprinkhuizen-Kuyper, Eric O...
NIPS
2004
15 years 6 months ago
Hierarchical Distributed Representations for Statistical Language Modeling
Statistical language models estimate the probability of a word occurring in a given context. The most common language models rely on a discrete enumeration of predictive contexts ...
John Blitzer, Kilian Q. Weinberger, Lawrence K. Sa...
149
Voted
NIPS
2001
15 years 6 months ago
Constructing Distributed Representations Using Additive Clustering
If the promise of computational modeling is to be fully realized in higherlevel cognitive domains such as language processing, principled methods must be developed to construct th...
Wheeler Ruml
137
Voted
AAAI
2000
15 years 6 months ago
A Method for Clustering the Experiences of a Mobile Robot that Accords with Human Judgments
If robotic agents are to act autonomously they must have the ability to construct and reason about models of their physical environment. For example, planning to achieve goals req...
Tim Oates, Matthew D. Schmill, Paul R. Cohen