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VL
2010
IEEE
160views Visual Languages» more  VL 2010»
13 years 6 months ago
Toward End-User Debugging of Machine-Learned Classifiers
Many machine-learning algorithms learn rules of behavior from individual end users, such as taskoriented desktop organizers and handwriting recognizers. These rules form a generat...
Todd Kulesza
COLT
2008
Springer
13 years 8 months ago
Teaching Dimensions based on Cooperative Learning
The problem of how a teacher and a learner can cooperate in the process of learning concepts from examples in order to minimize the required sample size without ā€œcoding tricksā€...
Sandra Zilles, Steffen Lange, Robert Holte, Martin...
AAAI
1997
13 years 9 months ago
Benefits of Learning in Negotiation
Negotiation has been extensively discussed in gametheoretic, economic, and management science literatures for decades. Recent growing interest in electronic commerce has given inc...
Dajun Zeng, Katia P. Sycara
GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 1 months ago
Empirical analysis of generalization and learning in XCS with gradient descent
We analyze generalization and learning in XCS with gradient descent. At ļ¬rst, we show that the addition of gradient in XCS may slow down learning because it indirectly decreases...
Pier Luca Lanzi, Martin V. Butz, David E. Goldberg
CORR
2010
Springer
147views Education» more  CORR 2010»
13 years 7 months ago
Learning Probabilistic Hierarchical Task Networks to Capture User Preferences
While much work on learning in planning focused on learning domain physics (i.e., action models), and search control knowledge, little attention has been paid towards learning use...
Nan Li, William Cushing, Subbarao Kambhampati, Sun...