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» IT alignment: what have we learned
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AAAI
2000
13 years 9 months ago
Acquiring Problem-Solving Knowledge from End Users: Putting Interdependency Models to the Test
Developing tools that allow non-programmers to enter knowledge has been an ongoing challenge for AI. In recent years researchers have investigated a variety ofpromising approaches...
Jihie Kim, Yolanda Gil
IIE
2007
75views more  IIE 2007»
13 years 7 months ago
Program and Evaluation Planning Light: Planning in the Real World
Although there are many high-quality models for program and evaluation planning, these models are often too intensive to be used in situations when time and resources are scarce. A...
Justus J. Randolph, Pasi J. Eronen
UAI
2003
13 years 9 months ago
On the Convergence of Bound Optimization Algorithms
Many practitioners who use EM and related algorithms complain that they are sometimes slow. When does this happen, and what can be done about it? In this paper, we study the gener...
Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahra...
CORR
2010
Springer
152views Education» more  CORR 2010»
13 years 7 months ago
Neuroevolutionary optimization
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Eva Volná
GRAPHICSINTERFACE
2009
13 years 5 months ago
QuickSelect: history-based selection expansion
When editing a graphical document, it is common to apply a change to multiple items at once, and a variety of tools exist for selecting sets of items. However, directly selecting ...
Sara L. Su, Sylvain Paris, Frédo Durand