Sciweavers

548 search results - page 51 / 110
» A New Way to Introduce Knowledge into Reinforcement Learning
Sort
View
IJCNN
2000
IEEE
15 years 4 months ago
Metrics that Learn Relevance
We introduce an algorithm for learning a local metric to a continuous input space that measures distances in terms of relevance to the processing task. The relevance is defined a...
Samuel Kaski, Janne Sinkkonen
CHI
2004
ACM
16 years 5 days ago
Labeling images with a computer game
We introduce a new interactive system: a game that is fun and can be used to create valuable output. When people play the game they help determine the contents of images by provid...
Luis von Ahn, Laura Dabbish
ECIR
2009
Springer
15 years 9 months ago
Regression Rank: Learning to Meet the Opportunity of Descriptive Queries
Abstract. We present a new learning to rank framework for estimating context-sensitive term weights without use of feedback. Specifically, knowledge of effective term weights on ...
Matthew Lease, James Allan, W. Bruce Croft
CLEIEJ
2007
86views more  CLEIEJ 2007»
14 years 11 months ago
Requirements Game: Teaching Software Project Management
: Several business areas, like Management and Negotiation, have used games like a didactic way to simulate world reality, to introduce students to the day-to-day generated problems...
Carlos Mario Zapata Jaramillo, Gabriel Awad-Aubad
AIPS
2010
15 years 1 days ago
Iterative Learning of Weighted Rule Sets for Greedy Search
Greedy search is commonly used in an attempt to generate solutions quickly at the expense of completeness and optimality. In this work, we consider learning sets of weighted actio...
Yuehua Xu, Alan Fern, Sung Wook Yoon