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NIPS
1998
13 years 8 months ago
Approximate Learning of Dynamic Models
Inference is a key component in learning probabilistic models from partially observable data. When learning temporal models, each of the many inference phases requires a complete ...
Xavier Boyen, Daphne Koller
CAV
2005
Springer
150views Hardware» more  CAV 2005»
14 years 28 days ago
Reasoning About Threads Communicating via Locks
Abstract. We propose a new technique for the static analysis of concurrent programs comprised of multiple threads. In general, the problem is known to be undecidable even for progr...
Vineet Kahlon, Franjo Ivancic, Aarti Gupta
ISJ
2008
93views more  ISJ 2008»
13 years 7 months ago
Knowledge transfer in globally distributed teams: the role of transactive memory
Abstract. This paper explores the role of transactive memory in enabling knowledge transfer between globally distributed teams. While the information systems literature has recentl...
Ilan Oshri, Paul C. van Fenema, Julia Kotlarsky
IJMMS
2007
173views more  IJMMS 2007»
13 years 7 months ago
Analyzing terror campaigns on the internet: Technical sophistication, content richness, and Web interactivity
Terrorists and extremists are increasingly utilizing Internet technology to enhance their ability to influence the outside world. Due to the lack of multi-lingual and multimedia ...
Jialun Qin, Yilu Zhou, Edna Reid, Guanpi Lai, Hsin...
EMSOFT
2005
Springer
14 years 28 days ago
High-level real-time programming in Java
Real-time systems have reached a level of complexity beyond the scaling capability of the low-level or restricted languages traditionally used for real-time programming. While Met...
David F. Bacon, Perry Cheng, David Grove, Michael ...