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NIPS
2004
15 years 8 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...
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 7 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
ICAS
2008
IEEE
274views Robotics» more  ICAS 2008»
16 years 1 months ago
Model-Driven Engineering of Multi-target Plastic User Interfaces
A Multi-target user interface is composed of a series of interconnected variations of the same user interfaces, but tailored for different targets or different contexts of use. Wh...
Benoît Collignon, Jean Vanderdonckt, Gaë...
175
Voted
ENTCS
2008
85views more  ENTCS 2008»
15 years 7 months ago
General Refinement, Part One: Interfaces, Determinism and Special Refinement
We introduce a general model of refinement. This is defined in terms of what contexts an entity can appear in, and what observations can be made of it in those contexts. We show e...
Steve Reeves, David Streader
CHI
2008
ACM
16 years 7 months ago
A diary study of mobile information needs
Being mobile influences not only the types of information people seek but also the ways they attempt to access it. Mobile contexts present challenges of changing location and soci...
Timothy Sohn, Kevin A. Li, William G. Griswold, Ja...