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AAAI
2011
13 years 12 months ago
Coarse-to-Fine Inference and Learning for First-Order Probabilistic Models
Coarse-to-fine approaches use sequences of increasingly fine approximations to control the complexity of inference and learning. These techniques are often used in NLP and visio...
Chloe Kiddon, Pedro Domingos
ATAL
2003
Springer
15 years 5 months ago
Transition-independent decentralized markov decision processes
There has been substantial progress with formal models for sequential decision making by individual agents using the Markov decision process (MDP). However, similar treatment of m...
Raphen Becker, Shlomo Zilberstein, Victor R. Lesse...
STOC
2009
ACM
102views Algorithms» more  STOC 2009»
16 years 13 days ago
Multiple intents re-ranking
One of the most fundamental problems in web search is how to re-rank result web pages based on user logs. Most traditional models for re-ranking assume each query has a single int...
Yossi Azar, Iftah Gamzu, Xiaoxin Yin
VISUALIZATION
2005
IEEE
15 years 5 months ago
Query-Driven Visualization of Large Data Sets
We present a practical and general-purpose approach to large and complex visual data analysis where visualization processing, rendering and subsequent human interpretation is cons...
Kurt Stockinger, John Shalf, Kesheng Wu, E. Wes Be...
MOBIHOC
2009
ACM
16 years 11 days ago
Experimental characterization of sectorized antennas in dense 802.11 wireless mesh networks
Sectorized antennas can increase wireless network capacity through greater spatial reuse. Despite their increasing popularity, their real-world performance characteristics in dens...
Anand Prabhu Subramanian, Henrik Lundgren, Theodor...