search for: canister

...needed, who needs it, and whatever info. It doesn't have to be hardware either - just something everyone can agree is OK to list. People visiting the site can look and decide if it's possible to contribute something - even if it's only one new hard drive of the type needed. Or maybe a canister of Columbia's finest coffee. (although I supposed consuming donated foods of any kind from unknown persons is a risk) And should a contributing member have a hardware failure on his own personal workstation, why not ask the world for some charity in return for his/her efforts? Just list what y...

...om/product/product_detail_eng.asp?product_id=163 The prices seem very reasonable as compared to Sun, HP, EMC, etc. You can buy bare drives (SAS or SATA) and plug them into the chassis. If you''re using dual RAID controllers with SATA drives, they sell a dual-port adapter that goes in the canister with each disk drive. Has anyone tried these with Solaris yet? The docs claim Solaris-ready, but I''m particularly curious to know if the E310f supports Sun''s MPXIO (multipathing) drivers in the dual-controller configuration. How about the SAS-connected chassis''? What...

Hi developers, I would appreciate if someone can give me a hand here... I need to run speex on a FPU-less platform with an audio card that only reads samples of type S32_LE (even when it is a 16bits audio card). I understand that if my platform is FPU-less then I should use speex_encode/decode_int() but then, how can I convert my S32_LE sample to S16_LE in order to pass it to speex

One thing that irritates me is that I'll copy something from a site in ff and paste it into webmail (squirrel/ensign, if that matters); then, in the evening, when I want to forward it to one or more of my lists, using t-bird, I have to clean it up *all* the time: 2-3 characters replacing ",' and -. I can't seem to find anything in either the webmail options (which I have set to

Hi This is a question regarding classification performance using different methods. So far I've tried NaiveBayes (klaR package), svm (e1071) package and randomForest (randomForest). What has puzzled me is that randomForest seems to perform far better (32% classification error) than svm and NaiveBayes, which have similar classification errors (45%, 48% respectively). A similar difference in