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» On Learning Decision Trees with Large Output Domains
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CLEAR
2007
Springer
166views Biometrics» more  CLEAR 2007»
13 years 12 months ago
The IBM Rich Transcription 2007 Speech-to-Text Systems for Lecture Meetings
The paper describes the IBM systems submitted to the NIST Rich Transcription 2007 (RT07) evaluation campaign for the speechto-text (STT) and speaker-attributed speech-to-text (SAST...
Jing Huang, Etienne Marcheret, Karthik Visweswaria...
CONNECTION
2008
178views more  CONNECTION 2008»
13 years 5 months ago
Spoken language interaction with model uncertainty: an adaptive human-robot interaction system
Spoken language is one of the most intuitive forms of interaction between humans and agents. Unfortunately, agents that interact with people using natural language often experienc...
Finale Doshi, Nicholas Roy
ICPR
2000
IEEE
14 years 6 months ago
General Bias/Variance Decomposition with Target Independent Variance of Error Functions Derived from the Exponential Family of D
An important theoretical tool in machine learning is the bias/variance decomposition of the generalization error. It was introduced for the mean square error in [3]. The bias/vari...
Jakob Vogdrup Hansen, Tom Heskes
DEBS
2008
ACM
13 years 7 months ago
Replica placement for high availability in distributed stream processing systems
A significant number of emerging on-line data analysis applications require the processing of data streams, large amounts of data that get updated continuously, to generate output...
Thomas Repantis, Vana Kalogeraki
PVLDB
2008
127views more  PVLDB 2008»
13 years 5 months ago
Discovering data quality rules
Dirty data is a serious problem for businesses leading to incorrect decision making, inefficient daily operations, and ultimately wasting both time and money. Dirty data often ari...
Fei Chiang, Renée J. Miller