Sciweavers

1211 search results - page 23 / 243
» Predicting building contamination using machine learning
Sort
View
ICML
2009
IEEE
15 years 10 months ago
A stochastic memoizer for sequence data
We propose an unbounded-depth, hierarchical, Bayesian nonparametric model for discrete sequence data. This model can be estimated from a single training sequence, yet shares stati...
Frank Wood, Cédric Archambeau, Jan Gasthaus...
ICCS
2007
Springer
15 years 3 months ago
Learning Common Outcomes of Communicative Actions Represented by Labeled Graphs
We build a generic methodology based on learning and reasoning to detect specific attitudes of human agents and patterns of their interactions. Human attitudes are determined in te...
Boris Galitsky, Boris Kovalerchuk, Sergei O. Kuzne...
80
Voted
SAT
2009
Springer
111views Hardware» more  SAT 2009»
15 years 4 months ago
Restart Strategy Selection Using Machine Learning Techniques
Abstract. Restart strategies are an important factor in the performance of conflict-driven Davis Putnam style SAT solvers. Selecting a good restart strategy for a problem instance...
Shai Haim, Toby Walsh
BMCBI
2008
136views more  BMCBI 2008»
14 years 9 months ago
A comparison of machine learning algorithms for chemical toxicity classification using a simulated multi-scale data model
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...
EDUTAINMENT
2009
Springer
15 years 4 months ago
Music-Making and Musical Comprehension with Robotic Building Blocks
Being able to express oneself musically and experiment with music composition is traditionally determined by one’s ability to play an actual instrument with a certain degree of c...
Niels Kristian Bærendsen, Carsten Jessen, Ja...