2190 search results - page 149 / 438 » Learning with the Set Covering Machine |
131
Voted
ML
2006
ACM
15 years 2 months ago
2006
ACM
We propose a simple approach to combining first-order logic and probabilistic graphical models in a single representation. A Markov logic network (MLN) is a first-order knowledge b...
138
Voted
ICALT
2009
IEEE
15 years 16 days ago
2009
IEEE
Eye-tracking measurements may be used as a method of identifying users' actual behavior in a hypermedia setting. In this research, an eye-tracking experiment was conducted in...
148
Voted
WWW
2011
ACM
14 years 9 months ago
2011
ACM
Gradient Boosted Regression Trees (GBRT) are the current state-of-the-art learning paradigm for machine learned websearch ranking — a domain notorious for very large data sets. ...
110
Voted
COLT
2007
Springer
15 years 9 months ago
2007
Springer
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
142
Voted
COLT
1991
Springer
15 years 6 months ago
1991
Springer
Abstract. This paper presents a polynomial-time algorithm for inferring a probabilistic generalization of the class of read-once Boolean formulas over the usual basis {AND,OR,NOT}....