Resources Contact Us Home
Browse by: INVENTOR PATENT HOLDER PATENT NUMBER DATE
 
 
Spam filtering using feature relevance assignment in neural networks










Image Number 11 for United States Patent #8131655.

In some embodiments, a spam filtering method includes computing a pattern relevance for each of a set of message feature patterns, and using a neural network filter to classify incoming messages as spam or ham according to the pattern relevancies. Each message feature pattern is characterized by the simultaneous presence within a message of a specific set of message features (e.g., the presence of certain keywords within the message body, various message header heuristics, various message layout features, etc.). Each message feature may be spam- or ham-identifying, and may receive a tunable feature relevance weight from an external source (e.g. data file and/or human operator). The external feature relevance weights modulate the set of neuronal weights calculated through a training process of the neural network.








 
 
  Recently Added Patents
Display systems with touch screens
Cancer treatment kits comprising therapeutic antibody conjugates that bind to aminophospholipids
Global codebook for coordinated multi-point processing
Active constant power supply apparatus
Smart television system having methods or means for accessing paid or subscribed digital content from the internet
Personalized health communication system
Polishing composition
  Randomly Featured Patents
Apparatus for recording/reproducing digital video signals in both a standard mode and a long playing mode
Co-axial bellows liquid heatsink for high power module test
Pliers (2)
Torque transmission device
Process for radiation grafting hydrogels onto organic polymeric substrates
X-ray camera
Process for wet regeneration of granular bulk materials charged with impurities and pollutants
Generator voltage regulator
Cylindrical hunting blind
Temperature control device for fixing heat source of copying machine