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IJCAI
2007
13 years 9 months ago
Parametric Kernels for Sequence Data Analysis
A key challenge in applying kernel-based methods for discriminative learning is to identify a suitable kernel given a problem domain. Many methods instead transform the input data...
Young-In Shin, Donald S. Fussell
CORR
2010
Springer
68views Education» more  CORR 2010»
13 years 7 months ago
Is It Real, or Is It Randomized?: A Financial Turing Test
We construct a financial "Turing test" to determine whether human subjects can differentiate between actual vs. randomized financial returns. The experiment consists of ...
Jasmina Hasanhodzic, Andrew W. Lo, Emanuele Viola
SIGOPS
2010
162views more  SIGOPS 2010»
13 years 6 months ago
Visual and algorithmic tooling for system trace analysis: a case study
Despite advances in the application of automated statistical and machine learning techniques to system log and trace data there will always be a need for human analysis of machine...
Wim De Pauw, Steve Heisig
TSP
2008
157views more  TSP 2008»
13 years 7 months ago
A Two-Stage Approach to Estimate the Angles of Arrival and the Angular Spreads of Locally Scattered Sources
We propose a new two-stage approach to estimate the nominal angles of arrival (AoAs) and the angular spreads (ASs) of multiple locally scattered sources using a uniform linear arra...
Mehrez Souden, Sofiène Affes, Jacob Benesty
EDBT
2008
ACM
125views Database» more  EDBT 2008»
14 years 7 months ago
On the brink: searching for drops in sensor data
Sensor networks have been widely used to collect data about the environment. When analyzing data from these systems, people tend to ask exploratory questions--they want to find su...
Gong Chen, Junghoo Cho, Mark H. Hansen