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ICML
1994
IEEE
13 years 11 months ago
Learning Without State-Estimation in Partially Observable Markovian Decision Processes
Reinforcement learning (RL) algorithms provide a sound theoretical basis for building learning control architectures for embedded agents. Unfortunately all of the theory and much ...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
ADC
2008
Springer
153views Database» more  ADC 2008»
13 years 9 months ago
A Confidence Based Recognition System for TV Commercial Extraction
Automatic real-time recognition of TV commercials is an essential step for TV broadcast monitoring. It comprises two basic tasks: rapid detection of known commercials that are sto...
Yijun Li, Dianqing Zhang, Xiangmin Zhou, Jesse S. ...
ASPDAC
2005
ACM
118views Hardware» more  ASPDAC 2005»
13 years 9 months ago
Wideband modeling of RF/Analog circuits via hierarchical multi-point model order reduction
This paper proposes a novel wideband modeling technique for high-performance RF passives and linear(ized) analog circuits. The new method is based on a recently proposed sdomain h...
Zhenyu Qi, Sheldon X.-D. Tan, Hao Yu, Lei He
CLEF
2008
Springer
13 years 9 months ago
Logistic Regression for Metadata: Cheshire Takes on Adhoc-TEL
In this paper we will briefly describe the approaches taken by the Berkeley Cheshire Group for the Adhoc-TEL 2008 tasks (Mono and Bilingual retrieval). Since the AdhocTEL task is ...
Ray R. Larson
NIPS
2008
13 years 9 months ago
MDPs with Non-Deterministic Policies
Markov Decision Processes (MDPs) have been extensively studied and used in the context of planning and decision-making, and many methods exist to find the optimal policy for probl...
Mahdi Milani Fard, Joelle Pineau