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» Combining programs and state machines
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ACL
1998
13 years 10 months ago
Classifier Combination for Improved Lexical Disambiguation
One of the most exciting recent directions in machine learning is the discovery that the combination of multiple classifiers often results in significantly better performance than...
Eric Brill, Jun Wu
WFLP
2000
Springer
148views Algorithms» more  WFLP 2000»
14 years 6 days ago
The Use of Functional and Logic Languages in Machine Learning
Abstract. Traditionally, machine learning algorithms such as decision tree learners have employed attribute-value representations. From the early 80's on people have started t...
Peter A. Flach
ICML
1994
IEEE
14 years 4 days 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...
GECCO
2007
Springer
184views Optimization» more  GECCO 2007»
14 years 15 days ago
Evolving kernels for support vector machine classification
While support vector machines (SVMs) have shown great promise in supervised classification problems, researchers have had to rely on expert domain knowledge when choosing the SVM&...
Keith Sullivan, Sean Luke
ISLPED
1995
ACM
70views Hardware» more  ISLPED 1995»
14 years 5 days ago
Transformation and synthesis of FSMs for low-power gated-clock implementation
We present a technique that automatically synthesizes nite state machines with gated clocks to reduce the power dissipation of the nal implementation. We describe a new transfor...
Luca Benini, Giovanni De Micheli