967 search results - page 128 / 194 » Probabilistic Predicative Programming |
157
Voted
ESOP
2011
Springer
14 years 6 months ago
2011
Springer
Abstract. The Bayesian approach to machine learning amounts to inferring posterior distributions of random variables from a probabilistic model of how the variables are related (th...
85
Voted
UM
2007
Springer
15 years 8 months ago
2007
Springer
Abstract. We present a study exploring the promise of developing computational systems to support the discovery and execution of opportunistic activities in mobile settings. We int...
111
Voted
CP
2005
Springer
15 years 8 months ago
2005
Springer
Preferences and uncertainty occur in many real-life problems. The theory of possibility is one way of dealing with uncertainty, which allows for easy integration with fuzzy prefer...
103
click to vote
ICALP
2005
Springer
15 years 8 months ago
2005
Springer
Abstract. Turing machines exposed to a small stochastic noise are considered. An exact characterisation of their (≈ Π0 2 ) computational power (as noise level tends to 0) is obt...
208
Voted
MOZ
2004
Springer
15 years 8 months ago
2004
Springer
We present the design and implementation of a Minesweeper game, augmented with a digital assistant. The assistant uses contraint programming techniques to help the player, and is a...