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ECAI
2008
Springer
15 years 3 days ago
Probabilistic Reinforcement Rules for Item-Based Recommender Systems
The Internet is constantly growing, proposing more and more services and sources of information. Modeling personal preferences enables recommender systems to identify relevant subs...
Sylvain Castagnos, Armelle Brun, Anne Boyer
CSL
2006
Springer
15 years 2 months ago
Reasoning About States of Probabilistic Sequential Programs
A complete and decidable propositional logic for reasoning about states of probabilistic sequential programs is presented. The state logic is then used to obtain a sound Hoare-styl...
Rohit Chadha, Paulo Mateus, Amílcar Sernada...
AAAI
2008
15 years 20 days ago
Structure Learning on Large Scale Common Sense Statistical Models of Human State
Research has shown promise in the design of large scale common sense probabilistic models to infer human state from environmental sensor data. These models have made use of mined ...
William Pentney, Matthai Philipose, Jeff A. Bilmes
SDM
2003
SIAM
129views Data Mining» more  SDM 2003»
14 years 11 months ago
Approximate Query Answering by Model Averaging
In earlier work we have introduced and explored a variety of different probabilistic models for the problem of answering selectivity queries posed to large sparse binary data set...
Dmitry Pavlov, Padhraic Smyth
EUSFLAT
2001
111views Fuzzy Logic» more  EUSFLAT 2001»
14 years 11 months ago
Second-order uncertainty as a bridge between probabilistic and fuzzy approaches
On the example of physics, we show that the traditional one-level description is not completely adequate. For a more adequate structure, a hierarchical description of uncertainty ...
Hung T. Nguyen, Vladik Kreinovich, Luc Longpr&eacu...